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This paper presents a method of classification of power quality disturbances using Wavelet transforms combined with artificial neural network. Multi-resolution Wavelet analysis has been used as feature extractor, with different mothers Wavelet. Result comparison has been made in two levels: first, using different wavelet mothers, to determinate if the classification performance is better with a specific...
In view of the deficiency of the traditional methods, a BP neural network model is proposed to evaluate water quality. The proposed model was applied to evaluate the water quality of 20 sections in Suzhou river. The evaluation result was compared with that of the RBF neural network method and the reported results in Suzhou river. It indicated that the performance of proposed neural network model is...
To improve efficiency and quality of case retrieval in case-based reasoning system, a case retrieval model based on the artificial neural network (ANN) and nearest neighbor (NN) algorithm is presented. Firstly, the indexes of cases are created in order to shrink the case-searching range, and the BP neural network is applied to memorize the product cases that are indexed. Secondly, the similar cases,...
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