An Efficient Numerical Integration Algorithm for Cellular Neural Network Based Hole-Filler Template Design

  • V. Murugesh Department of Information and Communication Engineering Hannam University 133 Ojung-dong Daeduk-gu, Daejeon 306-791, Republic of Korea
  • K. Batri Department of Computer Science and Engineering Muthyammal Engineering College Rasipuram 637 408, India

Abstract

This paper presents, a design method for the template of the hole-filler used to improve the performance of the character recognition using Numerical integration algorithms. This is done by analyzing the features of the hole-filler template and the dynamic process of CNN and by using popular numerical algorithms to obtain a set of inequalities satisfying its output characteristics as well as the parameter range of the hole-filler template. Some simulation results and comparisons are also presented.

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Published
2007-12-01
How to Cite
MURUGESH, V.; BATRI, K.. An Efficient Numerical Integration Algorithm for Cellular Neural Network Based Hole-Filler Template Design. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 2, n. 4, p. 367-374, dec. 2007. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2367>. Date accessed: 13 july 2020. doi: https://doi.org/10.15837/ijccc.2007.4.2367.

Keywords

Cellular Neural Networks; Euler Algorithm; RK-Gill Algorithm; RKButcher Algorithm; Ordinary differential equations, Hole-filler