Design of a self-organizing reciprocal modular neural network for nonlinear system modeling-Reference-Cited by-同舟云学术

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Design of a self-organizing reciprocal modular neural network for nonlinear system modeling

Published:2020-10 Issue: Volume:411 Page:327-339
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Wenjing,Li Meng,Zhang Junkai,Qiao Junfei

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Beijing Municipal Education Commission Foundation

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

1. Application of neural networks for detection of changes in nonlinear systems;Masri;J. Eng. Mech.,2000

2. Efficient self-organizing multilayer neural network for nonlinear system modeling;Han;Neural Networks.,2013

3. Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks;Patra;IEEE Trans. Syst. Man, Cybern. Part B.,2002

4. Deep architecture for traffic flow prediction : deep belief networks with multitask learning;Huang;IEEE Trans. Intell. Transp. Syst.,2014

5. A new deep belief network based on RBM with glial chains;Geng;Inf. Sci. (Ny),2018

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