Bulletin of Electrical Engineering and Informatics
Vol 2, No 1: March 2013

Cascade modelling for predicting solubility index of roller dried goat whole milk powder

Sumit Goyal (National Dairy Research Institute, Karnal)
Gyanendra Kumar Goyal (National Dairy Research Institute, Karnal)

Article Info

Publish Date
01 Mar 2013

Abstract

The aim of this work was to investigate the prediction ability of Cascade artificial neural network (ANN) models for solubility index of roller dried goat whole milk powder. The input variables for ANN model were: loose bulk density, packed bulk density, wettability and dispersibility, while solubility index was the output variable. Mean square error, root mean square error, coefficient of determination and Nash - sutcliffo coefficient were used as performance measures. Modelling results indicated very good agreement between the actual and the predicted data, thus confirming that ANN could be used to predict solubility index of roller dried goat whole milk powder.

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Journal Info
Bulletin of Electrical Engineering and Informatics
Website

Abbrev

EEI

Publisher

Universitas Ahmad Dahlan

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...