A Sniffer Technique for an Efficient Deduction of Model Dynamical Equations Using Genetic Programming-Reference-Cited by-同舟云学术

A Sniffer Technique for an Efficient Deduction of Model Dynamical Equations Using Genetic Programming

Published:2011 Issue: Volume: Page:1-12
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Ahalpara Dilip P.,Sen Abhijit

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-20407-4_1

Reference14 articles.

1. Ahalpara, D.P., Parikh, J.C.: Genetic Programming Based Approach for Modeling Time Series Data of Real Systems. Int. J. Mod. Phys. C 19, 63 (2008)

2. Lecture Notes in Computer Science;D.P. Ahalpara,2009

3. Cao, H., Kang, L., Chen, Y., Yu, J.: Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming. Genetic Programming and Evolvable Machines 1, 309–337 (2000)

4. Gray, G.J., Murray-Smith David, J., Li, Y., Sharman Ken, C.: Nonlinear Model Structure Identification Using Genetic Programming. In: Conference Proceedings Genetic Algorithms in Engineering Systems: Innovations and Applications GALESIA 1997 at Glasgow, pp. 308–313 (1997), ISBN: 0-85296-693-8

5. Iba, H.: Inference of Differential Equation Models by Genetic Programming. Information Sciences, an International Journal archive 178(23), 4453–4468 (2008)

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