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- W2359343815 abstract "To counter the over-fitting problem in BPANN,this paper puts forward a validation error-based learning algorithm,which takes into consideration building of the optimum net structure and obtaining the most appropriate training epochs.In the process of learning,the algorithm can automatically adjust the number of hidden layers and break net training in due course through constant test of validation error and error variation.Given the samples,this learning algorithm can not only build the optimum net structure and corresponding coefficient,it can also test the generalization ability of the net, thus effectively avoiding the over-fitting problem.In the end,an experiment is made to prove the validity of this algorithm." @default.
- W2359343815 created "2016-06-24" @default.
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- W2359343815 date "2008-01-01" @default.
- W2359343815 modified "2023-09-27" @default.
- W2359343815 title "A Learning Algorithm for Solving the Over-Fitting Problem in BPANN" @default.
- W2359343815 hasPublicationYear "2008" @default.
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