TY - JOUR AU - Block, Jane Mara AU - Barrera-Arellano, Daniel AU - Almeida, Rodrigo AU - Gomide, Fernando C. AU - Book Moretti, Roberto PY - 2003/09/30 Y2 - 2024/03/29 TI - Formulation of fats using neural networks: commercial products and pilot-plant production JF - Grasas y Aceites JA - Grasas aceites VL - 54 IS - 3 SE - Research DO - 10.3989/gya.2003.v54.i3.237 UR - https://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/237 SP - 240-244 AB - 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. ER -