Soft computing applications in food technology

Yancho Todorov, I. Nacheva, P. Metodieva, M. Doneva, T. S.V. Tsvetkov

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Abstract

This paper describes the potentials of the application of modern soft computing techniques into development stage of contemporary food products. Recently, soft computing has been extensively studied and applied for scientific research and engineering purposes. In biological and food engineering, researchers have developed methods of fuzzy logic, artificial neural networks, genetic algorithms, decision trees, and support vector machines to study complex characteristics of many products in order to be adopted cost effective measures satisfying the production constraints and consumer expectations.

Original languageEnglish
Pages (from-to)503-507
Number of pages5
JournalBulgarian Journal of Agricultural Science
Volume19
Issue number3
Publication statusPublished - 1 Dec 2013
MoE publication typeA1 Journal article-refereed

Keywords

  • Food
  • Food composition
  • Food mycology
  • Fuzzy systems
  • Neural networks
  • Soft computing

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