Can I read Improved Parameter Identification Method Based on Moving Rate on EtoBox?

Improved Parameter Identification Method Based on Moving Rate by Ho, Chol Man; Gwak, Son Il; Pak, Song Ho; Ha, Jong Won is a scholarly article available to read on EtoBox.

What is Improved Parameter Identification Method Based on Moving Rate about?

To improve the problem that the parameter identification for fuzzy neural network has many time complexities in calculating, an improved T-S fuzzy inference method and an parameter identification method for fuzzy neural network are proposed. It mainly includes three parts. First, improved fuzzy inference method based on production term for T-S Fuzzy model is explained. Then, compared with existing Sugeno fuzzy inference based on Compositional rules and type-distance fuzzy inference method, the proposed fuzzy inference algorithm has a less amount of complexity in calculating and the calculating process is simple. Next, a parameter identification method for FNN based on production inference is proposed. Finally, the proposed method is applied for the precipitation forecast and security situation prediction. Test results showed that the proposed method significantly improved the effectiveness of identification, reduced the learning order, time complexity and learning error.

Author

Ho, Chol Man; Gwak, Son Il; Pak, Song Ho; Ha, Jong Won

Published

2014

Language

EN