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• W2401797 abstract "In this study, two artificial neural network (ANN) models, a Pi-Sigma Neural Network (PSNN) and a three-layer multilayer perceptron (MLP), are applied for temperature forecasting. PSNN is use to overcome the limitation of widely used MLP, which can easily get stuck into local minima and prone to overfitting. Therefore, good generalisation may not be obtained. The models were trained with backpropagation algorithm on historical temperature data of Batu Pahat region. Through 810 experiments, we found that PSNN performs considerably better results compared to MLP for daily temperature forecasting and can be suitably adapted to forecasts a particular region using the historical data over larger geographical areas." @default.
• W2401797 created "2016-06-24" @default.
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• W2401797 date "2011-01-01" @default.
• W2401797 modified "2023-10-13" @default.
• W2401797 title "Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat" @default.
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• W2401797 doi "https://doi.org/10.1007/978-3-642-22191-0_46" @default.
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