Computationally efficient sequential learning algorithms for direct link resource-allocating networks

• 主要な著者: Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George W
• フォーマット: 論文
• 出版事項: Elsevier 2005
• 主題: TK Electrical engineering. Electronics Nuclear engineering; QA75 Electronic computers. Computer science
• オンライン･アクセス: http://www.elsevier.com/wps/find/journaldescription.cws_home/505628/description#description; http://eprints.utp.edu.my/3826/

Computationally efficient sequential learning algorithms are developed for direct-link resource-allocating networks (DRANs). These are achieved by decomposing existing recursive training algorithms on a layer by layer and neuron by neuron basis. This allows network weights to be updated in an effici...