Soft computing applications in food technology

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

Research output: Contribution to journalArticleScientificpeer-review

3 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

Fingerprint

computer techniques
bioengineering
fuzzy logic
Food Technology
application technology
food technology
neural networks
engineering
foods
researchers
Fuzzy Logic
Food
Bioengineering
Decision Trees
Research Personnel
Costs and Cost Analysis
methodology
Research
support vector machines
Support Vector Machine

Keywords

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

Cite this

Todorov, Y., Nacheva, I., Metodieva, P., Doneva, M., & Tsvetkov, T. S. V. (2013). Soft computing applications in food technology. Bulgarian Journal of Agricultural Science, 19(3), 503-507.
Todorov, Yancho ; Nacheva, I. ; Metodieva, P. ; Doneva, M. ; Tsvetkov, T. S.V. / Soft computing applications in food technology. In: Bulgarian Journal of Agricultural Science. 2013 ; Vol. 19, No. 3. pp. 503-507.
@article{6b126f1de2774a6996e1809d5423e10c,
title = "Soft computing applications in food technology",
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.",
keywords = "Food, Food composition, Food mycology, Fuzzy systems, Neural networks, Soft computing",
author = "Yancho Todorov and I. Nacheva and P. Metodieva and M. Doneva and Tsvetkov, {T. S.V.}",
year = "2013",
month = "12",
day = "1",
language = "English",
volume = "19",
pages = "503--507",
journal = "Bulgarian Journal of Agricultural Science",
issn = "1310-0351",
publisher = "Agricultural Academy",
number = "3",

}

Todorov, Y, Nacheva, I, Metodieva, P, Doneva, M & Tsvetkov, TSV 2013, 'Soft computing applications in food technology', Bulgarian Journal of Agricultural Science, vol. 19, no. 3, pp. 503-507.

Soft computing applications in food technology. / Todorov, Yancho; Nacheva, I.; Metodieva, P.; Doneva, M.; Tsvetkov, T. S.V.

In: Bulgarian Journal of Agricultural Science, Vol. 19, No. 3, 01.12.2013, p. 503-507.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Soft computing applications in food technology

AU - Todorov, Yancho

AU - Nacheva, I.

AU - Metodieva, P.

AU - Doneva, M.

AU - Tsvetkov, T. S.V.

PY - 2013/12/1

Y1 - 2013/12/1

N2 - 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.

AB - 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.

KW - Food

KW - Food composition

KW - Food mycology

KW - Fuzzy systems

KW - Neural networks

KW - Soft computing

UR - http://www.scopus.com/inward/record.url?scp=84893800971&partnerID=8YFLogxK

M3 - Article

VL - 19

SP - 503

EP - 507

JO - Bulgarian Journal of Agricultural Science

JF - Bulgarian Journal of Agricultural Science

SN - 1310-0351

IS - 3

ER -

Todorov Y, Nacheva I, Metodieva P, Doneva M, Tsvetkov TSV. Soft computing applications in food technology. Bulgarian Journal of Agricultural Science. 2013 Dec 1;19(3):503-507.