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Prediction of financial crisis is a challenging problem in financial research. On the basis of the information provided by financial statements, companies are usually classified into two groups, e.g., the groups of solvent and insolvent companies. Linear discriminant analysis (LDA), logistic regression and artificial neural network (ANN) are the most common statistical tools used for this classification...
The paper addresses the problem of predicting hourly load demand using adaptive artificial neural networks (ANNs). A particle swarm optimization (PSO) algorithm is employed to adjust the network's weights in the training phase of the ANNs. The advantage of using a PSO algorithm over other conventional training algorithms such as the back-propagation (BP) is that potential solutions will be flown through...
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