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An Examination of the Methods of Increasing Software Efficiency Based on Soft Computing Technology

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  • Shafagat Mahmudova

Abstract

This paper examines the methods of increasing software efficiency based on soft computing technology by analyzing the benefits and challenges of the components used in software development. The functions and features of machine learning, comprising neural networks, perceptron, support vector machines, and fuzzy logic are highlighted and explained, along with those of evolutionary computation (e.g., evolutionary and genetic algorithms) and probability. Recommendations are presented in conclusion.

Suggested Citation

  • Shafagat Mahmudova, 2019. "An Examination of the Methods of Increasing Software Efficiency Based on Soft Computing Technology," Review of Computer Engineering Research, Conscientia Beam, vol. 6(1), pages 45-56.
  • Handle: RePEc:pkp:rocere:v:6:y:2019:i:1:p:45-56:id:1467
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