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題名 A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Network
作者 蔡瑞煌
Tsaih,Rua-Huan;Wan,Yat-wah
關鍵詞 Bound; hidden nodes; single-hidden layer feed-forward neural network; preimage; parity problem
日期 2010-01
上傳時間 6-十月-2010 11:40:01 (UTC+8)
摘要 This study proposes and validates a construction concept for the realization of a real-valued single-hidden layer feed-forward neural network (SLFN) with continuous-valued hidden nodes for arbitrary mapping problems. The proposed construction concept says that for a specific application problem, the upper bound on the number of used hidden nodes depends on the characteristic of adopted SLFN and the observed properties of collected data samples. A positive validation result is obtained from the experiment of applying the construction concept to the m-bit parity problem learned by constructing two types of SLFN network solutions.
關聯 19th International Conference on Artificial Neural Networks (ICANN2009)
Lecture Notes in Computer Science,5768,658-667
資料類型 article
DOI http://dx.doi.org/10.1007/978-3-642-04274-4_68
dc.creator (作者) 蔡瑞煌zh_TW
dc.creator (作者) Tsaih,Rua-Huan;Wan,Yat-wah-
dc.date (日期) 2010-01en_US
dc.date.accessioned 6-十月-2010 11:40:01 (UTC+8)-
dc.date.available 6-十月-2010 11:40:01 (UTC+8)-
dc.date.issued (上傳時間) 6-十月-2010 11:40:01 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/46714-
dc.description.abstract (摘要) This study proposes and validates a construction concept for the realization of a real-valued single-hidden layer feed-forward neural network (SLFN) with continuous-valued hidden nodes for arbitrary mapping problems. The proposed construction concept says that for a specific application problem, the upper bound on the number of used hidden nodes depends on the characteristic of adopted SLFN and the observed properties of collected data samples. A positive validation result is obtained from the experiment of applying the construction concept to the m-bit parity problem learned by constructing two types of SLFN network solutions.-
dc.language.iso en_US-
dc.relation (關聯) 19th International Conference on Artificial Neural Networks (ICANN2009)en_US
dc.relation (關聯) Lecture Notes in Computer Science,5768,658-667-
dc.subject (關鍵詞) Bound; hidden nodes; single-hidden layer feed-forward neural network; preimage; parity problem-
dc.title (題名) A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Networken_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/978-3-642-04274-4_68en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-642-04274-4_68en_US