Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/102256
Type: Artigo de periódico
Title: Formulation Of Fats Using Neural Networks: Commercial Products And Pilot-plant Production [formulación De Grasas A Través De Redes Neuronales: Productos Comerciales Y Producción En Planta Piloto]
Author: Block J.M.
Barrera-Arellano D.
Almeida R.
Gomide F.C.
Moretti R.B.
Abstract: In the present work, trials were carried out to verify the range of application of a neural network, designed to formulate fats from 3 raw materials from soybean. For evaluation, 17 randomly selected commercial products, originally formulated with unknown raw materials, were used. Apart from the commercial products, 3 different table margarines were formulated using conventional methods and the neural network, and produced in pilot-plant scale. According to the results obtained, the neural network presented a success index of 64.7% in the formulation of commercial products. With respect to the products formulated and produced in pilot-plant scale, the results obtained using the network were similar to those obtained using the conventional formulation methods.
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Rights: aberto
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0346934957&partnerID=40&md5=06f2774435ad92f1b9c87dc0ae58f46c
Date Issue: 2003
Appears in Collections:Unicamp - Artigos e Outros Documentos

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