H. Altun

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This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is highly skewed and non-normally distributed. The proposed treatment modifies the distribution characteristics of the data set. The prediction of the suspended sediment, which is an(More)
6 7 Abstract 8 Soft computing is the state-of-the-art approach to artificial intelligence and it has showed an excellent performance in solving the com-9 bined optimization problems. In this paper, issues related to the implementation of the soft computing techniques are highlighted for a 10 successful application to solve economic dispatch (ED) problem,(More)
Input data representation is highly decisive in neural learning in terms of convergence. In this paper, within an analytical and statistical framework, the effect of the distribution characteristics of the input pattern vectors on the performance of the back-propagation (BP) algorithm is established for a function approximation problem, where parameters of(More)
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