Deep Recurrent Neural Network Architecture of High Order Indirect Integration Method

The indirect integration method (IIM) is a numerical method for initial value problem of ordinary differential equation, which is based on the residual iteration of differential equation to optimize the parameters of the highest order derivative function layer, and then integrates to the solution fu...

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Bibliographic Details
Published in:	Neural processing letters Vol. 54; no. 2; pp. 1233 - 1253
Main Authors:	Xie, Zhengrong, Ai, Yibo, Chen, Jia, Wang, Fan, Zhang, Weidong
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.04.2022 Springer Nature B.V
Subjects:	Algorithms Approximation Artificial Intelligence Back propagation networks Batch processing Boundary value problems Complex Systems Computational Intelligence Computer Science Differential equations Iterative methods Motion control Neural networks Numerical methods Optimization Ordinary differential equations Parameters Quadratures Recurrent neural networks Deep neural network Error back propagation algorithm through time Numerical solution of initial value problem of ODE Recurrent neural network Batch processing Trapezoidal formula of numerical integration
ISSN:	1370-4621, 1573-773X
Online Access:	Get full text
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