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Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting
Publisher: American Society of Civil Engineers
Abstract: One of the main problems of neural networks is the lack of consensus on how to best implement them. This work targets the question of the transfer function selection—a vital part of neural network providing nonlinear mapping ...
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