Since product quality(petrol end point)of crude tower is not easy to be measured, a neural network and model about product quality(petrol end point) is presented. In this neural network, temperature and press variable are taken as input and product quality (petrol end point) value is taken as output. Using Non-linear function approximation principle of neural networks and BP algorithm, the nettork output is approached the value measured in practlce. Usint this way, soft-measurement estimation is realized, ...
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