The Multi-Layered Perceptrons Neural Networks for the Prediction of Daily Solar Radiation

نویسندگان

  • Radouane Iqdour
  • Abdelouhab Zeroual
چکیده

The Multi-Layered Perceptron (MLP) Neural networks have been very successful in a number of signal processing applications. In this work we have studied the possibilities and the met difficulties in the application of the MLP neural networks for the prediction of daily solar radiation data. We have used the PolackRibière algorithm for training the neural networks. A comparison, in term of the statistical indicators, with a linear model most used in literature, is also performed, and the obtained results show that the neural networks are more efficient and gave the best results. Keywords—Daily solar radiation, Prediction, MLP neural networks, linear model

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تاریخ انتشار 2006