2003年
Solving the XOR Problem and the Detection of Symmetry Using a Single Complex-Valued Neuron.
Neural Networks
- 巻
- 16
- 号
- 8
- 開始ページ
- 1101
- 終了ページ
- 1105
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/S0893-6080(03)00168-0
- 出版者・発行元
- PERGAMON-ELSEVIER SCIENCE LTD
This letter presents some results on the computational power of complex-valued neurons. The main results may be summarized as follows. The XOR problem and the detection of symmetry problem which cannot be solved with a single real-valued neuron (i.e. a two-layered real-valued neural network), can be solved with a single complex-valued neuron (i.e. a two-layered complex-valued neural network) with the orthogonal decision boundaries, which reveals the potent computational power of complex-valued neurons. Furthermore, the fading equalization problem can be successfully solved with a single complex-valued neuron with the highest generalization ability. (C) 2003 Elsevier Ltd. All rights reserved.
- リンク情報
-
- DOI
- https://doi.org/10.1016/S0893-6080(03)00168-0
- DBLP
- https://dblp.uni-trier.de/rec/journals/nn/Nitta03
- CiNii Articles
- http://ci.nii.ac.jp/naid/10012745156
- PubMed
- https://www.ncbi.nlm.nih.gov/pubmed/13678617
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000186524400002&DestApp=WOS_CPL
- URL
- https://www.wikidata.org/entity/Q44587851
- URL
- https://dblp.uni-trier.de/db/journals/nn/nn16.html#Nitta03
- ID情報
-
- DOI : 10.1016/S0893-6080(03)00168-0
- ISSN : 0893-6080
- DBLP ID : journals/nn/Nitta03
- CiNii Articles ID : 10012745156
- PubMed ID : 13678617
- Web of Science ID : WOS:000186524400002