Thermal conductivity prediction of foods by Neural Network
and Fuzzy (ANFIS) modeling techniques

Thermal conductivity prediction of foods by Neural Network and Fuzzy (ANFIS) modeling techniques

A neuro-fuzzy modeling technique was used to predict the effective of thermal conductivity of various fruits and vegetables. A total of 676 data point was used to develop the neuro-fuzzy model considering the inputs as the fraction of water content, temperature and apparent porosity of food materi...

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Bibliographic Details
Main Authors:	Rahman, Muhammad Shafiur, Rashid, Muhammad Mahbubur, Hussain, Mohamed Azlan
Format:	Article
Language:	English
Published:	0960-3085 2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/15026/ http://irep.iium.edu.my/15026/ http://irep.iium.edu.my/15026/ http://irep.iium.edu.my/15026/1/thermal.pdf

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