最小経路数に基づく構造探索を導入したブロック構造ニューラルネットワーク学習法
最小経路数に基づく構造探索を導入したブロック構造ニューラルネットワーク学習法
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2016/07/01
タイトル(英語): A Learning Method for Block-Based Neural Networks with Structure Search Based on the Least Number of Routes
著者名: 乘松 直人(千葉大学),小圷 成一(千葉大学),岡本 卓(千葉大学)
著者名(英語): Naoto Norimatsu (Chiba University), Seiichi Koakutsu (Chiba University), Takashi Okamoto (Chiba University)
キーワード: FPGA,進化型ハードウェア,遺伝的アルゴリズム,ブロック構造ニューラルネットワーク FPGA,Evolvable Hardware,Genetic Algorithm,Block-Based Neural Network
要約(英語): In recent years a study of evolvable hardware (EHW) which can adapt to new and unknown environments attracts much attention among hardware designers. EHW is reconfigurable hardware and can be implemented combining reconfigurable devices such as FPGA (Field Programmable Gate Array) and evolutionary computation such as Genetic Algorithms (GAs). As such research of EHW, Block-Based Neural Networks (BBNNs) have been proposed. BBNNs have simplified network structures and their weights and network structure can be optimized at the same time using GAs. The learning of BBNNs without constraint of network structures is, however, not efficient because the degree of difficulty of learning depends on network structures. In this paper, we propose a new evaluation index of network structures for BBNNs based on the least number of routes which are from inputs to outputs, and apply it to the structure search. The learning of BBNNs is efficiently executed with structure constraint condition based on the proposed index because the network structures which are difficult to learn are excluded. In order to evaluate the proposed method, we apply it to XOR, 3 bit-parity, square function approximation, contact lenses fitting, Fisher's iris classification and Wine classification. Results of computational experiments indicate the validity of the proposed method.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.136 No.7 (2016) 特集:平成27年電子・情報・システム部門大会
本誌掲載ページ: 955-962 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/7/136_955/_article/-char/ja/
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