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| GENERALIZATION STUDY FOR A ROBUST ESTIMATION METHOD OF NEURAL NETS |
| Liu Guangyuan①; Liao Xiaofeng①; Yu Juebang①; Qiu Yuhui② |
| ①Department of Optoelectronic Technology UEST of China Chengdu 610054;②Department of Computer Science Southwest China Normal University Chongqing 400715 |
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Abstract In this paper, the Cauchy function is taken as a new target function of neural network accordings to the robustness theorem of statistics. Under the same network parameter conditions the BP net is trained using both mean squresand Cauchy target function firstly, then the net is tested by data sets including small Gaussian noises and outliers separately. Simulation results indicate that the network has both faster convergence speed and better performance against outliers after learning with robust target function.
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Received: 22 April 1997
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1999, Vol. 21 
