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Water quality prediction is an important and widely studied topic since it has significant impact on national or regional ecological and water resources management. Due to water quality indicators series nonlinearity and non-stationary, the accuracy of conventional mostly used methods including regression analysis, ARIMA and neural network has been limited. The use of support vector machine has been...
Quality evaluation and classification is very important for crop market price determination. A lot of methods have been applied in the field of quality classification including principal component analysis (PCA) and artificial neural network (ANN) etc. The use of ANN has been shown to be a cost-effective technique. But their training is featured with some drawbacks such as small sample effect, black...
Short term load forecasting (STLF) plays a significant role in national/regional power planning and operation with insufficient electric energy increased need. The accuracy of the operation system, which is derived from the accuracy of the forecasting approach used, will determine the economics of the operation of the power system. Conventional methods including time series, regression analysis or...
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