| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Food Science and Technology International (Q2) | ||
| Dergi ISSN | 1082-0132 Dergi Bilgileri (2007) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2007 |
| Cilt / Sayı / Sayfa | 13 / 3 / 217–223 | DOI | 10.1177/1082013207079829 |
| Makale Linki | https://journals.sagepub.com/doi/10.1177/1082013207079829 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| This paper presents the development of a fuzzy expert system (FES) for determination of α-linolenic acid content of eggs, obtained from hens fed dietary flaxseed. Based on experimental values FES models were designed using MATLAB 6.5 fuzzy logic toolbox in Windows XP running on Intel 1.9 Gh environment. It was used time and flaxseed ratio as input parameters and linolenic acid content as output. There was a good correlation (R2 = 0.9983) between experimental values and FES (P < 0.05, t-test). |
| Anahtar Kelimeler |
| α-linolenic acid | Egg | Fuzzy expert system |
| Atıf Sayıları | |
| Web of Science | 8 |
| Scopus | 7 |
| Google Scholar | 9 |
| Dergi Adı | FOOD SCIENCE AND TECHNOLOGY INTERNATIONAL |
| Kısa Adı | FOOD SCI TECHNOL INT |
| Yayıncı | SAGE PUBLICATIONS LTD |
| Açık Erişim | Hayır |
| ISSN | 1082-0132 |
| E-ISSN | 1532-1738 |
| Wos Quartile | Q2 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | CHEMISTRY, APPLIED | FOOD SCIENCE & TECHNOLOGY |
| Scopus Kategoriler | CHEMICAL ENGINEERING (MISCELLANEOUS) | INDUSTRIAL AND MANUFACTURING ENGINEERING | FOOD SCIENCE |