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http://dx.doi.org/10.3744/SNAK.2003.40.1.069

A Study on Optimization of Neuro-fuzzy System Parameter using Taguchi Method  

김수영 (부산대학교 선박해양공학과)
신성철 (부산대학교 선박해양공학과)
고창두 (한국해양연구원 해양안전시스템연구소)
Publication Information
Journal of the Society of Naval Architects of Korea / v.40, no.1, 2003 , pp. 69-73 More about this Journal
Abstract
Neuro-Fuzzy System is to combine merits of fuzzy inference system and neural networks. The neuro-fuzzy system applies a information about given input-output data to fuzzy theories and deals these fuzzy values with neural networks, e.g. first, redefines normalized input-output data as membership functions and then executes thses fuzzy information with backpropagation neural networks. This paper describes an innovative application of the Taguchi method for the determination of these parameters to meet the training speed and accuracy requirements. Results drawn from this research show that the Taguchi method provides an effective means to enhance the performance of the neuro-fuzzy system in terms of the speed for learning and the accuracy for recall.
Keywords
Neuro-fuzzy System; Taguchi Method; Design Variables; System Parameter;
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