Global stability of Hopfield neural networks
Data(s) |
1998
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Resumo |
This paper gives a condition for the global stability of a continuous-time hopfield neural network when its activation function maybe not monotonically increasing. This paper gives a condition for the global stability of a continuous-time hopfield neural network when its activation function maybe not monotonically increasing. 于2010-10-29批量导入 Made available in DSpace on 2010-10-29T06:37:12Z (GMT). No. of bitstreams: 1 2996.pdf: 87865 bytes, checksum: 71a314c0ff625310bbd5f7cfd3885fc1 (MD5) Previous issue date: 1998 Chinese Inst Electr.; Signal Proc Soc.; IEEE Signal Proc Soc.; Inst Elect Engineers.; Union Radio Sci Int.; IEEE Beijing Sect.; Natl Nat Sci Fdn China.; CIE Comm URSI.; IEEE Comp Soc Beijing Chapter.; IEEE SP Soc Beijing Chapter. Chinese Acad Sci, Inst Semicond, Artificial Neural Network Lab, Beijing 100083, Peoples R China Chinese Inst Electr.; Signal Proc Soc.; IEEE Signal Proc Soc.; Inst Elect Engineers.; Union Radio Sci Int.; IEEE Beijing Sect.; Natl Nat Sci Fdn China.; CIE Comm URSI.; IEEE Comp Soc Beijing Chapter.; IEEE SP Soc Beijing Chapter. |
Identificador | |
Idioma(s) |
英语 |
Publicador |
IEEE 345 E 47TH ST, NEW YORK, NY 10017 USA |
Fonte |
Li YJ .Global stability of Hopfield neural networks .见:IEEE .ICSP '98: 1998 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II,345 E 47TH ST, NEW YORK, NY 10017 USA ,1998,1299-1300 |
Palavras-Chave | #人工智能 |
Tipo |
会议论文 |