The effect of network parameters on pi-sigma neural network for temperature forecasting

Husaini, Noor Aida and Ghazali, Rozaida and Mohd Nawi, Nazri and Ismail, Lokman Hakim (2011) The effect of network parameters on pi-sigma neural network for temperature forecasting. International Journal of Modern Physics: Conference Series, 9 . pp. 440-447.

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Abstract

In this paper, we present the effect of network parameters to forecast temperature of a suburban area in Batu Pahat, Johore. The common ways of predicting the temperature using Neural Network has been applied for most meteorological parameters. However, researchers frequently neglected the network parameters which might affect the Neural Network’s performance. Therefore, this study tends to explore the effect of network parameters by using Pi-Sigma Neural Network (PSNN) with backpropagation algorithm. The network’s performance is evaluated using the historical dataset of temperature in Batu Pahat for one-step-ahead and benchmarked against Multilayer Perceptron (MLP) for comparison. We found out that, network parameters have significantly affected the performance of PSNN for temperature forecasting. Towards the end of this paper, we concluded the best forecasting model to predict the temperature based on the comparison of our study.

Item Type:Article
Uncontrolled Keywords:pi-sigma neural network; temperature forecasting; network parameter
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Faculty of Computer Science and Information Technology > Department of Software Engineering
ID Code:3043
Deposited By:Normajihan Abd. Rahman
Deposited On:21 Feb 2013 15:06
Last Modified:22 Jan 2015 08:35

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