LINEAR LAYER AND GENERALIZED REGRESSION COMPUTATIONAL INTELLIGENCE MODELS FOR PREDICTING SHELF LIFE OF PROCESSED CHEESE
This paper highlights the significance of computational intelligence models for predicting shelf life of processed cheese stored at 7-8 g.C. Linear Layer and Generalized Regression models were developed with input parameters: Soluble nitrogen, pH, Standard plate count, Yeast & mould count, Spores, a...
محفوظ في:
| المؤلفون الرئيسيون: | , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
iVolga Press
2012-03-01
|
| سلاسل: | Russian Journal of Agricultural and Socio-Economic Sciences |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.rjoas.com/issue-2012-03/i003_article_2012_05.pdf |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|