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Research and Application of Improved AGP Algorithm for Structural Optimization Based on Feedforward Neural Networks
Joint Authors
Wang, Ruliang
Sun, Huanlong
Zha, Benbo
Wang, Lei
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-20
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The adaptive growing and pruning algorithm (AGP) has been improved, and the network pruning is based on the sigmoidal activation value of the node and all the weights of its outgoing connections.
The nodes are pruned directly, but those nodes that have internal relation are not removed.
The network growing is based on the idea of variance.
We directly copy those nodes with high correlation.
An improved AGP algorithm (IAGP) is proposed.
And it improves the network performance and efficiency.
The simulation results show that, compared with the AGP algorithm, the improved method (IAGP) can quickly and accurately predict traffic capacity.
American Psychological Association (APA)
Wang, Ruliang& Sun, Huanlong& Zha, Benbo& Wang, Lei. 2015. Research and Application of Improved AGP Algorithm for Structural Optimization Based on Feedforward Neural Networks. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1073932
Modern Language Association (MLA)
Wang, Ruliang…[et al.]. Research and Application of Improved AGP Algorithm for Structural Optimization Based on Feedforward Neural Networks. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1073932
American Medical Association (AMA)
Wang, Ruliang& Sun, Huanlong& Zha, Benbo& Wang, Lei. Research and Application of Improved AGP Algorithm for Structural Optimization Based on Feedforward Neural Networks. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1073932
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073932