EconPapers    
Economics at your fingertips  
 

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

Shafagat Mahmudova ()

Review of Computer Engineering Research, 2019, vol. 6, issue 1, 45-56

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.

Keywords: Soft computing; Software efficiency; Software development; Programming technology; Soft computing components (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://archive.conscientiabeam.com/index.php/76/article/view/1467/2052 (application/pdf)
https://archive.conscientiabeam.com/index.php/76/article/view/1467/4779 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pkp:rocere:v:6:y:2019:i:1:p:45-56:id:1467

Access Statistics for this article

More articles in Review of Computer Engineering Research from Conscientia Beam
Bibliographic data for series maintained by Dim Michael ().

 
Page updated 2025-03-19
Handle: RePEc:pkp:rocere:v:6:y:2019:i:1:p:45-56:id:1467