Alleviating ‘overfitting’ via genetically-regularised neural network
Chan, Z.S.H., Ngan, H.W., Rad, A.B., & Ho, T.K. (2002) Alleviating ‘overfitting’ via genetically-regularised neural network. Electronics Letters, 38(15), pp. 809-810.
A hybrid genetic algorithm/scaled conjugate gradient regularisation method is designed to alleviate ANN `over-fitting'. In application to day-ahead load forecasting, the proposed algorithm performs better than early-stopping and Bayesian regularisation, showing promising initial results.
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