FORWARD NEURAL NETWORK BASED ON HYBRID ALGORITHM OF BP WITH NEW ACTIVATION FUNCTION AND STATISTICS AND THE APPLICATIONS
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    Abstract:

    In order to avoid the disadvantage of BP algorithm, which is to trap into thelocal minimum, this paper provides Hybrid Algorithm consisted of BP with new combination activation function and statistics; then this new algorithm is applied to weather forecast and loan and the results are compared with Hybrid Algorithm based on backpropagation(standard and momentum-term) and statistics. Simulation results show that the accuracy and learning rate of prediction are both satisfactory. This program is written inTURBO-PASCAL 6. 0 and run on IBM PC/386 and 486.

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姜天戟,袁曾任.基于BP和统计的混合法前馈型神经网络及其应用.软件学报,1996,7(6):379-384

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  • Revised:April 13,1995
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