Parameter whitening method for neural network modeling for gray problem

Luo Zhong; Jingling Yuan; Chengming Zou

doi:10.1117/12.458712

11 March 2002 Parameter whitening method for neural network modeling for gray problem

Luo Zhong, Jingling Yuan, Chengming Zou

Proceedings Volume 4739, Applications and Science of Computational Intelligence V; (2002) https://doi.org/10.1117/12.458712
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

The modality and features of gray differential equations and the features of differential parameters have been researched. The gray attribute of the differential equation parameters also has been analyzed. Based on studying one dimensional gray problem modeling and neural network modeling, a method of whitening the parameters of gray differential equation using gray neural network- GNNM was put forward. Furthermore, we also studied two-dimensional gray problem and built GNNM.

Citation Download Citation

Luo Zhong, Jingling Yuan, and Chengming Zou "Parameter whitening method for neural network modeling for gray problem", Proc. SPIE 4739, Applications and Science of Computational Intelligence V, (11 March 2002); https://doi.org/10.1117/12.458712

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