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 :
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