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A novel online self-constructing fuzzy neural network is proposed for time-series prediction. The proposed approach not only speeds up the learning process but also builds a more parsimonious fuzzy neural network while comparable performance and accuracy can be achieved since the new growing criteria feature characteristics of growing and pruning. The learning scheme starts with no hidden neurons...
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