Constructive algorithm for fully connected cascade feedforward neural networks-Reference-Cited by-同舟云学术

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Constructive algorithm for fully connected cascade feedforward neural networks

Published:2016-03 Issue: Volume:182 Page:154-164
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Qiao Junfei,Li Fanjun,Han Honggui,Li Wenjing

Funder

National Natural Science Foundation of China

Beijing Science and Technology Project

Hong Kong Scholar Program

Beijing Nova Program

Beijing Municipal Education Commission Foundation

China Postdoctoral Science Foundation

Collaborative Innovation Program

Program of Study Interiorly for University Key Teacher

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference39 articles.

1. Dynamic Bayesian networks for vehicle classification in video;Kafai;IEEE Trans. Ind. Inform.,2012

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

3. Intelligent control of chaotic systems via self-organizing Hermite-polynomial-based neural network;Hsu;Neurocomputing,2014

4. Vehicle positioning using GSM and cascade-connected ANN structures;Borenovic;IEEE Trans. Intell. Transp. Syst.,2013

5. A new adaptive merging and growing algorithm for designing artificial neural networks;Islam;IEEE Trans. Syst. Man Cybern. Part B: Cybern.,2009

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