Complex Pattern Detection with Entropy

Authors

  • Sindhu R School of Computing Science and Engineering, Galgotias University Greater Noida, UP, India
  • Gehlot N Dept. of Computer Science & Engineering, SGT University, Gurugram, Haryana, India

DOI:

https://doi.org/10.26438/ijcse/v7i10.201205

Keywords:

Pattern Recognition, Artificial Intellegence, Fuzzy Logic, Neural Network

Abstract

Pattern recognition techniques are important component of intelligent systems. It used for both data pre-processing and decision making. Broadly speaking, pattern recognition is the science that concerns the description or classification of measurements. And its algorithms generally aim to provide a reasonable answer for all possible inputs and to perform "most likely" matching of the inputs, taking consideration of their statistical variation in every approach that we are taking in account. This is just opposite to pattern matching algorithms, which compare the input with pre-existing patterns for exact matches.A very common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in given text data and is included in the search capabilities.

References

[1]. Majida Ali Abed , Ahmad Nasser Ismail andZubadiMatizHazi, “Pattern recognition UsingGenetic Algorithm”,International Journal of Computer and Electrical Engineering, Vol. 2, No. 3, June, 2010. Ahmad, T.,Jameel, [2]. A.Ahmad, “Pattern recognition using statistical and neural techniques”, International Conference onComputer Networks and Information Technology (ICCNIT), 2011.

[3] Mohammad S. Alam,Mohammad A. Karim,“Advances in Pattern Recognition Algorithms,Architectures and Devices,” Optical Engineering,Vol. 43 No. 8, August 2004.

[4] Sebastien ´ Gadat,Laurent Younes, “AStochastic Algorithm for Feature Selection in Pattern Recognition”, Journal of Machine Learning Research 8 (2007) 509-547.

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Published

2019-10-31
CITATION
DOI: 10.26438/ijcse/v7i10.201205
Published: 2019-10-31

How to Cite

[1]
R. Sindhu and N. Gehlot, “Complex Pattern Detection with Entropy”, Int. J. Comp. Sci. Eng., vol. 7, no. 10, pp. 201–205, Oct. 2019.

Issue

Vol. 7 No. 10 (2019): IJCSE October Edition

Section

Research Article

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