designing a cmopact fuzzy classification system using a genetics-based learning algorithm

Publish Year: 1383
نوع سند: مقاله کنفرانسی
زبان: English
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ACCSI10_016

تاریخ نمایه سازی: 25 آذر 1390

Abstract:

fuzzy systems have demonstrated their ability to solve different kinds of problems in various applications domains currently there is an increasing interest to augment fuzzy systems with learning and adaptation capabilities two of the most successful approaches to hybridize fuzzy systems with learning and adaptation methods have been made in the realm of soft computing neural fuzzy systmes and gentic fuzzy systems hybridize the approximate reasoning method of fuzzy systems with learning capabilities of neural networks and evolutionary algorithms .

Authors

m saniee abadeh

department ofcomputerl engineering sharif unieversity of technology

j habini

department ofcomputerl engineering sharif unieversity of technology

c lucas

department of electrical engineering tehran unieversity

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