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A kind of neural network solution method has been proposed in the paper aiming at a class of non-linear process control system with the characteristic of time delay. In this scheme, a new-type associative memory neural network is used to model the controlled system, and the fuzzy neural network with inverse identification structure is adopted to control the(More)
The linearization of the rolling process nonlinear model and the calculation for the sensitivity factors of the linear model obtained by the differential of the rolling force model based on support vector machine were presented. The proposed controller was characterized of the exit thickness predicted by the rolling process linear model based on sensitivity(More)
In order to improve the performance of the compact Genetic Algorithm (cGA) to solve difficult optimization problems, an improved cGA which named as the weight based compact Genetic Algorithm (wcGA) is proposed. In the wcGA, S individuals are generated from the probability vector in each generation, when the winner competing with the other S-1 individuals to(More)
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