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Block and parallel modelling of broad domain nonlinear continuous mapping based on NN
Yang guowei; Tu Xuyan; Wang Shoujue
2006
Source PublicationJournal of Systems Engineering and Electronics
Volume17Issue:3Pages:586-892
AbstractThe necessity of the use of the block and parallel modeling of the nonlinear continuous mappings with NN is firstly expounded quantitatively. Then, a practical approach for the block and parallel modeling of the nonlinear continuous mappings with NN is proposed. Finally, an example indicating that the method raised in this paper can be realized by suitable existed software is given. The results of the experiment of the model discussed on the 3-D Mexican straw hat indicate that the block and parallel modeling based on NN is more precise and faster in computation than the direct ones and it is obviously a concrete example and the development of the large-scale general model established by Tu Xuyan.
metadata_83inst. of pattern recognition and intelligent system, qingdao univ;inst. of computer and system science, univ. of science and technology beijing;laboratory of artificial neural network, inst. of semiconductors, chinese academy of sciences
Subject Area人工智能
Funding OrganizationThe project was supported by the National Natural Science Foundation of China,the Postdoctoral Science Foundation of China
Indexed ByCSCD
Language英语
CSCD IDCSCD:2621383
Date Available2010-11-23
Citation statistics
Document Type期刊论文
Identifierhttp://ir.semi.ac.cn/handle/172111/16471
Collection中国科学院半导体研究所(2009年前)
Recommended Citation
GB/T 7714
Yang guowei,Tu Xuyan,Wang Shoujue. Block and parallel modelling of broad domain nonlinear continuous mapping based on NN[J]. Journal of Systems Engineering and Electronics,2006,17(3):586-892.
APA Yang guowei,Tu Xuyan,&Wang Shoujue.(2006).Block and parallel modelling of broad domain nonlinear continuous mapping based on NN.Journal of Systems Engineering and Electronics,17(3),586-892.
MLA Yang guowei,et al."Block and parallel modelling of broad domain nonlinear continuous mapping based on NN".Journal of Systems Engineering and Electronics 17.3(2006):586-892.
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