DocumentCode
2128085
Title
The Improved Rapid Convergence Algorithm of the Connecting Rights in the BP Network
Author
Xie, Jun ; Lin, Peng ; Liang, Huizhen ; Lu, Minghui
Author_Institution
Shandong Univ. of Sci. & Technol., Qingdao
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
819
Lastpage
822
Abstract
Based on analyzing fundamental algorithms principle of back propagation network, in view of the limitations of BP network algorithm, this paper proposed the homologous improved algorithms from two respects: accelerate the learning speed of BP network and advance the convergence degree of network. By means of increasing the discrepancy factors of neuron function, the traditional function is optimized and improved, so that the output value break away from local minimal, greatly increasing the convergence speed of network; In the circle iterate expression, by means of increasing the momentum factor, it can filtrate the high frequency deviation of curved face in weight space, so as to widen the space of effective weight, and avoid the oscillation in the network learning process, enormously decrease the time of network learning.
Keywords
backpropagation; convergence of numerical methods; iterative methods; neural nets; artificial neural network; back propagation network learning; circle iterate expression; frequency deviation; neuron function; rapid convergence algorithm; Acceleration; Algorithm design and analysis; Artificial neural networks; Brain modeling; Convergence; Face; Frequency; Joining processes; Knowledge acquisition; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3488-6
Type
conf
DOI
10.1109/KAM.2008.124
Filename
4732943
Link To Document