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An improved particle swarm optimization (IPSO) is presented to solve the premature and low precision based on shrinking chaotic mutation with population's fitness, which is used to train the radius basis function (RBF) neural networks, and optimization parameters of the network. Considering the stronger nonlinearity and coupling of strip flatness and gauge complex control, using the IPSO-RBF neural...
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