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A self-organizing cascade neural network with random weights for nonlinear system modeling

  • Published:2016-05 Issue: Volume:42 Page:184-193
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Li Fanjun,Qiao Junfei,Han Honggui,Yang Cuili

Funder

National Science Foundation of China

Beijing Science and Technology

Ministry of Education

Beijing Municipal Education Commission Foundation

Beijing Nova Program

China Postdoctoral Science Foundation

Collaborative Innovation Program

Beijing Postdoctoral Research Foundation

Publisher

Elsevier BV

Subject

Software

Reference42 articles.

1. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models;Nelles,2001

2. Offline modeling for product quality prediction of mineral processing using modeling error PDF shaping and entropy minimization;Ding;IEEE Trans. Neural Netw.,2011

3. Real-time model predictive control using a self-organizing neural network;Han;IEEE Trans. Neural Netw. Learn. Syst.,2013

4. Modeling and monitoring of dynamic processes;Zhang;IEEE Trans. Neural Netw. Learn. Syst.,2012

5. An efficient self-organizing RBF neural network for water quality prediction;Han;Neural Netw.,2011

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