DocumentCode
1895906
Title
A Novel Algorithm on BP-Neural Network
Author
Wang, Bo
Author_Institution
Sch. of Electron. & Inf. Eng., Jinggangshan Univ., Jian, China
Volume
1
fYear
2012
fDate
23-25 March 2012
Firstpage
506
Lastpage
509
Abstract
Because during the net work learning, BP fall into local minimum, this article proposed a prove algorithm that change the learning gradient, and adjust the weight and threshold, in order to speed up the network´s learning speed. At last, this method was used to, study sample at the fuzzy reasoning layer by BP calculation method, obtain professional experience and ways of thinking about bridage safety assessment via the network. Finally, compare the assessment results from the network with those from professionals. The comparison proves the artificial BP-neural network´s more feasibility and efficiency.
Keywords
backpropagation; bridges (structures); fuzzy reasoning; neural nets; safety; structural engineering computing; BP calculation method; BP neural network; backpropagation; bridge safety assessment; fuzzy reasoning; learning gradient; network learning; Bridges; Communication cables; Educational institutions; Power cables; Safety; Structural beams; Vectors; BP Model; BP algorithm; BP neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.117
Filename
6187896
Link To Document