Artificial Neural Network based String Matching Algorithms for Species Classification A Preliminary Study and Experimental Results

  • KumarS S
  • Duraipandian N
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

… a quadratic number of matches if every substring matches. Basically, the algorithm constructs a … These extra internal links allow fast transitions between failed pattern matches, to other …

Cite

CITATION STYLE

APA

KumarS, S., & Duraipandian, N. (2012). Artificial Neural Network based String Matching Algorithms for Species Classification A Preliminary Study and Experimental Results. International Journal of Computer Applications, 52(14), 21–29. https://doi.org/10.5120/8270-1832

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free