ARTIFICIAL NEURAL NETWORK WITH REGULAR GRAPH FOR MAXIMUM AIR TEMPERATURE FORECASTING: THE EFFECT OF DECREASE IN NODES DEGREE ON LEARNING

A. H. Ghaderi () and A. H. Darooneh ()
Additional contact information
A. H. Ghaderi: Physics Department, Zanjan University, Zanjan 45196-313, Iran
A. H. Darooneh: Physics Department, Zanjan University, Zanjan 45196-313, Iran

International Journal of Modern Physics C (IJMPC), 2012, vol. 23, issue 02, 1-10

Abstract: The behavior of nonlinear systems can be analyzed by artificial neural networks. Air temperature change is one example of the nonlinear systems. In this work, a new neural network method is proposed for forecasting maximum air temperature in two cities. In this method, the regular graph concept is used to construct some partially connected neural networks that have regular structures. The learning results of fully connected ANN and networks with proposed method are compared. In some case, the proposed method has the better result than conventional ANN. After specifying the best network, the effect of input pattern numbers on the prediction is studied and the results show that the increase of input patterns has a direct effect on the prediction accuracy.

Keywords: Artificial neural network; multilayers perceptron; partially connected neural network; air temperature forecasting; 07.05.Mh; 92.60.Wc (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183112500088
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:23:y:2012:i:02:n:s0129183112500088

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183112500088

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().