Simulación del proceso de biodegradación de aguas residuales de la industria de carne mediante una red neuronal artificial perceptrón multicapa Simulation of biodegradation process of wastewater from meat industry by means of a multilayer perceptron artificial neural network
作者： Jardim Rosa Elze
DOI:
关键词: Perceptron 、 Artificial neural network 、 Multilayer perceptron 、 Biodegradation 、 Meat packing industry 、 Protein concentration 、 Environmental engineering 、 Pulp and paper industry 、 Process time 、 Wastewater 、 Chemistry
摘要: In this paper, the use of a multilayer perceptron (MLP) artificial neural network (ANN) is proposed to simulate variation protein concentration according time and also determine end optimal conditions biodegradation process wastewater from meat industry. To reduce concentration, papains Carica papaya latex have been used at controlled condition pH (5 7) temperature (25 30 °C). Results showed that reduction 82 91% by action for 30 40 h time. Simulations best occurred 5, 30 °C 35 h, in which maximum was obtained.
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