Thesis Open Access
Mesfin Agide
{
"description": "<p>Currently, food processing industry is driven by several requirements. This<br>\nrequirement includes ensuring safety, meeting quality standard and customer<br>\nexpectation and reducing production cost to be competent in market. To achieve<br>\nthis requirement they have to operate at optimum process conditions all the time.<br>\nIn food processing, due to the nature of the process, it is difficult to find and<br>\noperate at the best conditions solely by experience.<br>\nThe Ethiopia food industry is no coping up with such requirement due cost<br>\nof optimization and low level of education of works operating in the production<br>\nsystem. Thus, it is necessary modeling of the process or part of the process to<br>\ncapture the relation of between important process parameters and use the model to<br>\ncontrol and improve the process better. In addition, it is found necessary to make<br>\nthe model accessible for the operators working in Ethiopian industry. Using<br>\nartificial neural network method is found to be very good modeling to tool to solve<br>\nfood engineering problems</p>",
"license": "http://www.opendefinition.org/licenses/cc-by",
"creator": [
{
"@type": "Person",
"name": "Mesfin Agide"
}
],
"headline": "Neural Network predictive process modeling: Application to food processing",
"image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg",
"datePublished": "2009-03-01",
"url": "https://nadre.ethernet.edu.et/record/4930",
"@context": "https://schema.org/",
"identifier": "https://doi.org/10.20372/nadre:4930",
"@id": "https://doi.org/10.20372/nadre:4930",
"@type": "ScholarlyArticle",
"name": "Neural Network predictive process modeling: Application to food processing"
}
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