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International Conference on Software Engineering and Computer Systems

ICSECS 2011: Software Engineering and Computer Systems pp 530–541Cite as

Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 180))

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.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johore, Malaysia

    Noor Aida Husaini, Rozaida Ghazali & Nazri Mohd Nawi

  2. Faculty of Environmental and Civil Engineering, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johore, Malaysia

    Lokman Hakim Ismail

Authors
  1. Noor Aida Husaini
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  2. Rozaida Ghazali
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  3. Nazri Mohd Nawi
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  4. Lokman Hakim Ismail
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Editor information

Editors and Affiliations

  1. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, Malaysia

    Jasni Mohamad Zain

  2. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Kuantan, Pahang, Malaysia

    Wan Maseri bt Wan Mohd

  3. Information Systems Department, King Saud University, 11543, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Husaini, N.A., Ghazali, R., Nawi, N.M., Ismail, L.H. (2011). Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat. In: Zain, J.M., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22191-0_46

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  • DOI: https://doi.org/10.1007/978-3-642-22191-0_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22190-3

  • Online ISBN: 978-3-642-22191-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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