Improving generalization in backpropagation networks architectures

This paper gives a prototype recognizer that uses rough reduction module to find the optimal representation for backpropagation networks. The proposed approach exhibits a hybrid methodology for feedforward neural networks and rough set theory. The system is a two stand alone subsystems, in which the...

詳細記述

保存先:
書誌詳細
主要な著者: Ali Adlan, Hanan Hassan, Ramli, Abd Rahman, Mohd Babiker, Elsadig Ahmed
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2005
オンライン・アクセス:http://psasir.upm.edu.my/id/eprint/38992/1/38992.pdf
http://psasir.upm.edu.my/id/eprint/38992/
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

類似資料