A Comparative Study of Back Propagation and Simulated Annealing Algorithms for Neural Net Classifier Optimization

Author:

Behera Subhendu Sekhar,Chattopadhyay Subhagata

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference21 articles.

1. Jha G.K., “Artificial Neural Network”, IARI, 2006.

2. Abraham A. Chapter 129: “Artificial Neural Netorwk” in Handbook of Measuring System Design, by Sydenham P. H. and Thorn R. (eds.) John Wiley & Sons, 2005 [avaialble in http://www.softcomputing.net/ann_chapter.pdf] last accessed on 14/11/2011.

3. Jung I., Wang G., “Pattern Classification of Back-Propagation Algorithm Using Exclusive Connecting Network”, World Academy of Science, Engineering and Technology 36 2007.

4. Optimization by Simulated Annealing;Kirkpatrick;Science,1983

5. Bailer-Jones D.M.and Bailer-Jones C.A.L., “Modelling Data: Analogies in neural networks, simulated annealing and genetic algorithms” in Model-Based Reasoning: Science, Technology, Values, L. Magnani and N. Nersessian (eds.), New York: Kluer Academic/Plenum Publishers, 2002.

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