Application of simulated neural networks as Non-Linear Modular Modeling Method for predicting shelf life of processed cheese / Sumit Goyal and Gyanendra Kumar Goyal
This paper presents the capability of simulated neural network (SNN) models for predicting the shelf life of processed cheese stored at ambient temperature 30o C. Processed cheese is a dairy product generally made from medium ripened Cheddar cheese. Elman and Linear Layer(Train) SNN models were deve...
Saved in:
Main Authors: | Goyal, Sumit, Goyal, Gyanendra Kumar |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Teknologi MARA, Perlis
2012
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/34381/1/34381.pdf http://ir.uitm.edu.my/id/eprint/34381/ https://jurnalintelek.uitm.edu.my/index.php/main |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Extraction of chromium from wastewater by emulsion ionic liquid membrane / Rahul Kumar Goyal
by: Goyal, Rahul Kumar
Published: (2011) -
Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset
by: Ain Nadia Alin binti Mohd Azeman
Published: (2023) -
Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi
by: Md Radzi, Mohd Lutfi
Published: (2007) -
Comparison between artificial neural network and Non-linear Auto Regressive Moving Average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
by: Sahrani, Muhammad Naqiuddin
Published: (2015) -
A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
by: Babiker, Elsadig Ahmed Mohamed
Published: (2002)