ISCAS OpenIR
optimization of ann based on ea
Zhu Hongguo; Xin Hai; Zheng Changwen
2011
Conference Name2011 International Conference on Advanced Materials and Information Technology Processing, AMITP 2011
SourceAdvanced Materials Research
Pages629-632
Conference DateApril 17,
Conference PlaceGuangzhou, China
Indexed TypeEI
ISSN1022-6680
ISBN9783037851579
Department(1) National University of Defense Technology Changsha Hunan 410073 China; (2) Institute of Software Chinese Academy of Science Beijing 100090 China
English AbstractArtificial neural network (ANN) and evolutionary algorithm (EA) are both biology-based models of information processing. The basic theories of ANN and EA are described. Then the mechanisms of using EA for ANN's optimization are explained and the research states are summarized. The existing problems and future directions are demonstrated finally. © (2011) Trans Tech Publications, Switzerland.; Artificial neural network (ANN) and evolutionary algorithm (EA) are both biology-based models of information processing. The basic theories of ANN and EA are described. Then the mechanisms of using EA for ANN's optimization are explained and the research states are summarized. The existing problems and future directions are demonstrated finally. © (2011) Trans Tech Publications, Switzerland.
KeywordData Processing Evolutionary Algorithms Information Technology Optimization
SponsorshipHainan University; Asia Pacific Human-Computer Interaction Research Center
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/16191
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Zhu Hongguo,Xin Hai,Zheng Changwen. optimization of ann based on ea[C],2011:629-632.
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