Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks

Author:

Wang RanORCID,Xie Haoran,Feng Jiqiang,Wang Fu Lee,Xu Chen

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference37 articles.

1. Haykin S (1998) Neural networks: a comprehensive foundation. Prentice Hall, Upper Saddle River

2. Ham FM, Kostanic I (2000) Principles of neurocomputing for science and engineering. McGraw-Hill Higher Education, New York

3. Huang G-B, Zhu Q-Y, Siew C-K (2004) Extreme learning machine: a new learning scheme of feedforward neural networks, vol 2. In: Proceedings. 2004 IEEE international joint conference on neural networks, IEEE, Budapest, pp 985–990

4. Huang G-B, Zhou H, Ding X, Zhang R (2012) Extreme learning machine for regression and multiclass classification. IEEE Trans Syst Man Cybern Part B Cybern 42(2):513–529

5. Wang R, Kwong S, Wang X (2012) A study on random weights between input and hidden layers in extreme learning machine. Soft Comput 16(9):1465–1475

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