COMPARISON OF EFFECTIVENESS OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM AND ARTIFICIAL NEURAL NETWORKS FOR ESTIMATION OF LINEAR CREEP AND RECOVERY PROPERTIES OF MODEL MEAT EMULSIONS

Journal article

Peer reviewed

Journal of texture studies, Vol.43(5), pp.384-399

Accepted for Publication January 2, 2012

10/2012

Abstract

Artificial neural networks

creep-recovery properties

fuzzy inference system

model system meat emulsions

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Title: COMPARISON OF EFFECTIVENESS OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM AND ARTIFICIAL NEURAL NETWORKS FOR ESTIMATION OF LINEAR CREEP AND RECOVERY PROPERTIES OF MODEL MEAT EMULSIONS
Creators - without role: MUSTAFA TAHSIN Yilmaz - Yıldız Technical University
Publication Details: Journal of texture studies, Vol.43(5), pp.384-399
Publisher: Blackwell Publishing Inc
Edition: Accepted for Publication January 2, 2012
Number of pages: 16
Identifiers: 9935728608331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article