A novel framework for automatic generation of fuzzy neural networks

Authors:
Meng Joo Er;Yi Zhou
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University, S1 Nanyang Ave, Singapore 639798, Singapore;School of Electrical and Electronic Engineering, Singapore Polytechnic, 500 Dover Road, Singapore 139651, Singapore
Venue:
Neurocomputing
Year:
2008

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Abstract

In this paper, a novel framework for automatic generation of fuzzy neural networks (FNNs) termed hierarchically generated fuzzy neural networks (HGFNN) is proposed for realizing machine intelligence. Human intelligence in organizing companies in a civic society has been adopted in this framework. In the HGFNN framework, an FNN is regarded as a company and fuzzy rules are considered as employees of the company. Analogous to the management of a company, three criteria, namely client satisfaction, performance evaluation and cost minimization, have been proposed. Simulation studies on mobile robot control demonstrate that the proposed method is superior to other existing approaches.