Hybridization of Neural Nets and Genetic Algorithms to Compute the Boundary Control for Controlled Heat Equation

Authors

  • Nutan Kumar Tomar Indian Institute of Technology Patna
  • N Sukavanam IIT Roorkee
  • K P Singh Indian Institute of Information Technology Allahabad

Keywords:

Control system governed by heat equation, artificial neural networks, genetic algorithms

Abstract

This paper presents a computational method for boundary control of controlled heat equation. The proposed method relies upon the function approximation
capability of feedforward neural network and global optimization
power of genetic algorithm.

Author Biographies

Nutan Kumar Tomar, Indian Institute of Technology Patna

N Sukavanam, IIT Roorkee

K P Singh, Indian Institute of Information Technology Allahabad

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How to Cite

Tomar, N. K., Sukavanam, N., & Singh, K. P. (2011). Hybridization of Neural Nets and Genetic Algorithms to Compute the Boundary Control for Controlled Heat Equation. European Journal of Pure and Applied Mathematics, 4(2), 117–128. Retrieved from https://ejpam.com/index.php/ejpam/article/view/590