Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations | Paper Citation Record

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This paper cites Fuzzy sets,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Fuzzy sets,

Reference 1

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This paper cites Introduction to fuzzy partial differential equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Introduction to fuzzy partial differential equations,

Reference 2

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This paper cites A fuzzy solution of heat equation under generalized hukuhara differentiability by fuzzy fourier transform,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations A fuzzy solution of heat equation under generalized hukuhara differentiability by fuzzy fourier transform,

Reference 3

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This paper cites Solving fuzzy burgers equation by variational iteration method,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Solving fuzzy burgers equation by variational iteration method,

Reference 4

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Observation 62bf82d5-fed4-4e00-bcd0-813aa56ab7b6 · outbound

This paper cites Numerical solutions of fuzzy partial differential equations and its applications in computational mechanics,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Numerical solutions of fuzzy partial differential equations and its applications in computational mechanics,

Reference 5

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This paper cites Elementary fuzzy calculus,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Elementary fuzzy calculus,

Reference 6

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This paper cites Parametric representation of fuzzy numbers and application to fuzzy calculus,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Parametric representation of fuzzy numbers and application to fuzzy calculus,

Reference 7

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This paper cites On using α-cuts to evaluate fuzzy equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations On using α-cuts to evaluate fuzzy equations,

Reference 8

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This paper cites Zadeh’s extension principle for continuous functions of non -interactive variables: A parallel optimization approach,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Zadeh’s extension principle for continuous functions of non -interactive variables: A parallel optimization approach,

Reference 9

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Observation ae3b4d22-b6b5-41dd-a68b-3e71c8035d61 · outbound

This paper cites Difference methods for fuzzy partial differential equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Difference methods for fuzzy partial differential equations,

Reference 10

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Observation b585d3ff-c4d6-4c62-bec6-2e2a94612d60 · outbound

This paper cites Neural‐network‐based approximations for solving partial differential equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Neural‐network‐based approximations for solving partial differential equations,

Reference 11

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This paper cites Artificial neural networks for solving ordinary and partial differential equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Artificial neural networks for solving ordinary and partial differential equations,

Reference 12

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This paper cites Physics -informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 13

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This paper cites Physics- informed machine learning,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics- informed machine learning,

Reference 14

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This paper cites Physics-informed neural networks for inverse problems in nano -optics and metamaterials,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics-informed neural networks for inverse problems in nano -optics and metamaterials,

Reference 15

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This paper cites Physics-informed neural networks for cardiac activation mapping,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics-informed neural networks for cardiac activation mapping,

Reference 16

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This paper cites A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics,

Reference 17

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This paper cites AI -aristotle: A physics -informed framework for systems biology gray -box identification,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations AI -aristotle: A physics -informed framework for systems biology gray -box identification,

Reference 18

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This paper cites Physics-informed neural network (PINN) for solving frictional contact temperature and inversely evaluating relevant input parameters,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics-informed neural network (PINN) for solving frictional contact temperature and inversely evaluating relevant input parameters,

Reference 19

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This paper cites Physics‐informed deep neural networks for learning parameters and constitutive relationships in subsurface flow problems,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics‐informed deep neural networks for learning parameters and constitutive relationships in subsurface flow problems,

Reference 20

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This paper cites Physics -informed neural networks with weighted losses by uncertainty evaluation for accurate and stable prediction of manufacturing systems,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed neural networks with weighted losses by uncertainty evaluation for accurate and stable prediction of manufacturing systems,

Reference 21

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This paper cites Residual- based adaptivity for two-phase flow simulation in porous media using physics-informed neural networks,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Residual- based adaptivity for two-phase flow simulation in porous media using physics-informed neural networks,

Reference 22

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This paper cites Weak form theory -guided neural network (TgNN-wf) for deep learning of subsurface single - and two -phase flow,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Weak form theory -guided neural network (TgNN-wf) for deep learning of subsurface single - and two -phase flow,

Reference 23

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Observation 95ecf3fe-2ec9-48d9-9f2f-d599a11be5e9 · outbound

This paper cites A mixed pressure-velocity formulation to model flow in heterogeneous porous media with physics -informed neural networks,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations A mixed pressure-velocity formulation to model flow in heterogeneous porous media with physics -informed neural networks,

Reference 24

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This paper cites Physics -informed hybrid GRU neural networks for MPC prediction,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed hybrid GRU neural networks for MPC prediction,

Reference 25

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This paper cites Physics -informed spatial fuzzy system and its applications in modeling,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed spatial fuzzy system and its applications in modeling,

Reference 26

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This paper cites Deep fuzzy physics-informed neural networks for forward and inverse PDE problems,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Deep fuzzy physics-informed neural networks for forward and inverse PDE problems,

Reference 27

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This paper cites On physics-informed fuzzy neural network for the state of health prediction of lithium-ion batteries,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations On physics-informed fuzzy neural network for the state of health prediction of lithium-ion batteries,

Reference 28

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This paper cites Physics -informed neural network with fuzzy partial differential equation for pavement performance prediction,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed neural network with fuzzy partial differential equation for pavement performance prediction,

Reference 29

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This paper cites Interval and fuzzy physics -informed neural networks for uncertain fields,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Interval and fuzzy physics -informed neural networks for uncertain fields,

Reference 30

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This paper cites Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks,

Reference 31

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This paper cites When and why PINNs fail to train: A neural tangent kernel perspective,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations When and why PINNs fail to train: A neural tangent kernel perspective,

Reference 32

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Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Boundary-integral type neural network (BINN) for flow problems in anisotropic reservoirs,

Reference 33

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This paper cites KAN: Kolmogorov-Arnold Networks.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations KAN: Kolmogorov-Arnold Networks

Reference 34

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This paper cites A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks,

Reference 35

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This paper cites Physics -informed kolmogorov-arnold networks for power system dynamics,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed kolmogorov-arnold networks for power system dynamics,

Reference 36

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Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed KAN-coupled FEM for deformation analysis of complex shells,

Reference 37

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This paper cites Physics-informed kolmogorov–arnold networks to model flow in heterogeneous porous media with a mixed pressure-velocity formulation,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics-informed kolmogorov–arnold networks to model flow in heterogeneous porous media with a mixed pressure-velocity formulation,

Reference 38

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Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed kolmogorov-arnold networks for multi -material elasticity problems in electronic packaging,

Reference 39

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This paper cites Parameterized analytical solution of seepage equation for reservoir simulation using physics -informed kolmogorov -arnold network without labels,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Parameterized analytical solution of seepage equation for reservoir simulation using physics -informed kolmogorov -arnold network without labels,

Reference 40

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This paper cites Physics -informed kolmogorov -arnold networks for granular fuzzy fractional optimal control problems,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics -informed kolmogorov -arnold networks for granular fuzzy fractional optimal control problems,

Reference 41

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Observation 4c6e2414-4a7a-45da-9d8d-6298a7059172 · outbound

This paper cites Quantum computing in the NISQ era and beyond,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Quantum computing in the NISQ era and beyond,

Reference 42

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This paper cites Noisy intermediate-scale quantum algorithms,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Noisy intermediate-scale quantum algorithms,

Reference 43

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This paper cites Performance study of variational quantum linear solver with an improved ansatz for reservoir flow equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Performance study of variational quantum linear solver with an improved ansatz for reservoir flow equations,

Reference 44

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This paper cites Performance study of variational quantum linear solver for linear elastic problems,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Performance study of variational quantum linear solver for linear elastic problems,

Reference 45

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Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Data re -uploading for a universal quantum classifier,

Reference 46

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This paper cites Universal Approximation Theorem and Error Bounds for Quantum Neural Networks and Quantum Reservoirs,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Universal Approximation Theorem and Error Bounds for Quantum Neural Networks and Quantum Reservoirs,

Reference 47

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This paper cites The power of quantum neural networks,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations The power of quantum neural networks,

Reference 48

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This paper cites Supervised learning with quantum-enhanced feature spaces,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Supervised learning with quantum-enhanced feature spaces,

Reference 49

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Observation e4e20feb-91c6-41ff-8401-6b0ec5b1a3d6 · outbound

This paper cites A quantum spatial graph convolutional neural network model on quantum circuits,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations A quantum spatial graph convolutional neural network model on quantum circuits,

Reference 50

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This paper cites Solving nonlinear differential equations with differentiable quantum circuits,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Solving nonlinear differential equations with differentiable quantum circuits,

Reference 51

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This paper cites An efficient quantum neural network model for prediction of carbon dioxide CO2 sequestration in saline aquifers,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations An efficient quantum neural network model for prediction of carbon dioxide CO2 sequestration in saline aquifers,

Reference 52

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This paper cites Barren plateaus in quantum neural network training landscapes,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Barren plateaus in quantum neural network training landscapes,

Reference 53

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This paper cites Noise-induced barren plateaus in variational quantum algorithms,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Noise-induced barren plateaus in variational quantum algorithms,

Reference 54

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This paper cites On physics-informed neural networks for quantum computers,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations On physics-informed neural networks for quantum computers,

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This paper cites Quantum physics -informed neural networks,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Quantum physics -informed neural networks,

Reference 56

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This paper cites Physics-informed quantum neural network for solving forward and inverse problems of partial differential equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Physics-informed quantum neural network for solving forward and inverse problems of partial differential equations,

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This paper cites Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs,

Reference 58

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Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Quantum physics -informed neural networks for multivariable partial differential equations,

Reference 59

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This paper cites Exploring hybrid physics - informed neural networks with quantum layers for solving the wave equation,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Exploring hybrid physics - informed neural networks with quantum layers for solving the wave equation,

Reference 60

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This paper cites QCPINN: Quantum -classical physics - informed neural networks for solving PDEs,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations QCPINN: Quantum -classical physics - informed neural networks for solving PDEs,

Reference 61

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Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Hybrid quantum physics-informed neural network: Towards efficient learning of high -speed flows,

Reference 62

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This paper cites Incompressible navier–stokes solve on noisy quantum hardware via a hybrid quantum –classical scheme,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Incompressible navier–stokes solve on noisy quantum hardware via a hybrid quantum –classical scheme,

Reference 63

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This paper cites A Hybrid Quantum-Classical Physics-Informed Neural Network Architecture for Solving Quantum Optimal Control Problems.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations A Hybrid Quantum-Classical Physics-Informed Neural Network Architecture for Solving Quantum Optimal Control Problems

Reference 64

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This paper cites Quantum-classical physics-informed neural networks for solving reservoir seepage equations,.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Quantum-classical physics-informed neural networks for solving reservoir seepage equations,

Reference 65

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This paper cites Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs

Reference 66

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Observation a5d38d7a-3886-45c6-93f6-6305d695263b · outbound

This paper cites Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation.

Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Reference 67

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