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https://doi.org/10.2139/ssrn.4648080

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inferredcites →https://doi.org/10.1002/asjc.1675openalex-extracted
Lyapunov Functional Approach to Stability Analysis of Riemann‐Liouville Fractional Neural Networks with Time‐Varying Delays
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Artificial neural network approach for a class of fractional ordinary differential equation
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Analytical Solutions for Nonlinear Systems of Conformable Space-Time Fractional Partial Differential Equations via Generalized Fractional Differential Transform
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Physics-informed neural networks (PINNs) for fluid mechanics: a review
inferredcites →https://doi.org/10.1007/s10444-023-10065-9openalex-extracted
Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
inferredcites →https://doi.org/10.1007/s11063-016-9510-5openalex-extracted
A Neural Network Approach for Solving a Class of Fractional Optimal Control Problems
inferredcites →https://doi.org/10.1007/s11071-020-06136-xopenalex-extracted
Time-fractional diffusion equation-based image denoising model
inferredcites →https://doi.org/10.1007/s11082-017-1225-yopenalex-extracted
Soliton solutions of the conformable fractional Zakharov–Kuznetsov equation with dual-power law nonlinearity
inferredcites →https://doi.org/10.1007/s40314-020-01163-1openalex-extracted
Solitary wave solutions and traveling wave solutions for systems of time-fractional nonlinear wave equations via an analytical approach
inferredcites →https://doi.org/10.1016/j.amc.2016.07.021openalex-extracted
Solving differential equations of fractional order using an optimization technique based on training artificial neural network
inferredcites →https://doi.org/10.1016/j.anucene.2017.11.005openalex-extracted
Artificial neural network approximations of linear fractional neutron models
inferredcites →https://doi.org/10.1016/j.cam.2014.01.002openalex-extracted
A new definition of fractional derivative
inferredcites →https://doi.org/10.1016/j.cam.2014.10.016openalex-extracted
On conformable fractional calculus
inferredcites →https://doi.org/10.1016/j.camwa.2022.07.002openalex-extracted
HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations
inferredcites →https://doi.org/10.1016/j.chaos.2016.11.003openalex-extracted
On the analytical solutions of the system of conformable time-fractional Robertson equations with 1-D diffusion
inferredcites →https://doi.org/10.1016/j.chaos.2018.03.001openalex-extracted
Analytical solutions for conformable space-time fractional partial differential equations via fractional differential transform
inferredcites →https://doi.org/10.1016/j.chaos.2022.111984openalex-extracted
Adaptation on power series method with conformable operator for solving fractional order systems of nonlinear partial differential equations
inferredcites →https://doi.org/10.1016/j.cma.2021.114502openalex-extracted
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
inferredcites →https://doi.org/10.1016/j.engappai.2023.107183openalex-extracted
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology
inferredcites →https://doi.org/10.1016/j.ijleo.2016.10.136openalex-extracted
Modified Kudryashov method for solving the conformable time-fractional Klein–Gordon equations with quadratic and cubic nonlinearities
inferredcites →https://doi.org/10.1016/j.ijleo.2017.04.015openalex-extracted
New analytic solutions of the conformable space–time fractional Kawahara equation
inferredcites →https://doi.org/10.1016/j.jcp.2017.07.050openalex-extracted
Machine learning of linear differential equations using Gaussian processes
inferredcites →https://doi.org/10.1016/j.jcp.2017.11.039openalex-extracted
Hidden physics models: Machine learning of nonlinear partial differential equations
inferredcites →https://doi.org/10.1016/j.jcp.2018.10.045openalex-extracted
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
inferredcites →https://doi.org/10.1016/j.jcp.2020.110079openalex-extracted
PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain
inferredcites →https://doi.org/10.1016/j.jcp.2021.110600openalex-extracted
SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs
inferredcites →https://doi.org/10.1016/j.jksus.2015.05.003openalex-extracted
A conformable fractional calculus on arbitrary time scales
inferredcites →https://doi.org/10.1016/j.neucom.2022.08.030openalex-extracted
Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative
inferredcites →https://doi.org/10.1016/j.neunet.2013.10.002openalex-extracted
Projective synchronization for fractional neural networks
inferredcites →https://doi.org/10.1016/j.rinam.2022.100347openalex-extracted
Time difference physics-informed neural network for fractional water wave models
inferredcites →https://doi.org/10.1080/17455030.2016.1205237openalex-extracted
New exact solutions of Burgers’ type equations with conformable derivative
inferredcites →https://doi.org/10.1109/access.2016.2633272openalex-extracted
A Novel Fractional-Order Differentiation Model for Low-Dose CT Image Processing
inferredcites →https://doi.org/10.1109/access.2019.2943089openalex-extracted
Numerical Study of Some Intelligent Robot Systems Governed by the Fractional Differential Equations
inferredcites →https://doi.org/10.1109/icra.2014.6907089openalex-extracted
Modeling a multi-robot system with fractional-order differential equations
inferredcites →https://doi.org/10.1137/18m1229845openalex-extracted
fPINNs: Fractional Physics-Informed Neural Networks
inferredcites →https://doi.org/10.1142/9543openalex-extracted
Fractional Partial Differential Equations and Their Numerical Solutions
inferredcites →https://doi.org/10.1155/2018/7361628openalex-extracted
Fractional-Order Deep Backpropagation Neural Network
inferredcites →https://doi.org/10.1155/2018/8924547openalex-extracted
Application of Nonlinear Time-Fractional Partial Differential Equations to Image Processing via Hybrid Laplace Transform Method
inferredcites →https://doi.org/10.1515/math-2015-0081openalex-extracted
New properties of conformable derivative
inferredcites →https://doi.org/10.3934/math.2019.4.1203openalex-extracted
Travelling wave solutions for fractional Korteweg-de Vries equations via an approximate-analytical method
inferredcites →https://doi.org/10.48550/arxiv.1912.00873openalex-extracted
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
inferredcites →https://doi.org/10.48550/arxiv.2105.07898openalex-extracted
Physics-informed attention-based neural network for solving non-linear partial differential equations
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