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-Reference-Cited by-同舟云学术

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

Published:2012-06-28 Issue:5 Volume:43 Page:384-399
ISSN:0022-4901
Container-title:Journal of Texture Studies
language:en
Short-container-title:

Author:

YILMAZ MUSTAFA TAHSIN

Publisher

Wiley

Subject

Pharmaceutical Science,Food Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1745-4603.2012.00349.x/fullpdf

Reference50 articles.

1. Formulation and fuzzy modeling of emulsion stability and viscosity of a gum-protein emulsifier in a model mayonnaise system;ABU GHOUSH;J. Food Eng.,2008

2. Formulation and fuzzy modeling of viscosity of an orange-flavored carboxymethylcellulose-whey protein isolate beverage;ABUGHOUSH;Int. J. Food Eng.,2008

3. Mechanical properties and viscoelastic characteristics of two varieties of yam tubers (Dioscorea alata);ALVIS;J. Texture Studies,2010

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modelling some quality attributes of a convective Hot-Air dried tomato slices using ANN and ANFIS techniques;Measurement: Food;2024-03

2. Modelling Some Quality Attributes of a Convective Hot-Air Dried Tomato Slices Using Ann and Anfis Techniques;2023

3. Experimental study, phenomenological and adaptive neuron analysis of creep property of Momordica augustisepala L nanofiber reinforced polyvinyl alcohol polymer film composite;IOP Conference Series: Materials Science and Engineering;2020-03-01

4. Comparison of ANFIS and ANN modeling for predicting the behavior of a catalytic methane reformer;Bulgarian Chemical Communications;2019

5. Comparison of Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Models in Simulating Polygalacturonase Production;BioResources;2016-08-29