Material tracing and control method in roller hearth heat-treated furnace
A heat treatment furnace and tracking control technology, applied in the direction of heat treatment process control, heat treatment equipment, furnaces, etc., can solve the problems of time-consuming and laborious, and achieve the effect of strengthening control stability and accuracy, and prolonging the accident-free period.
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[0026] Below in conjunction with accompanying drawing, the present invention will be further described with specific embodiment:
[0027] In order to facilitate the understanding of the material tracking control method used in the roller hearth heat treatment furnace proposed by the present invention, the composition and training method of the RBF neural network used in the present invention are first introduced in detail.
[0028] see figure 1 The schematic diagram of the RBF neural network model shown in this paper uses a typical RBF neural network structure, which consists of three layers, namely the input layer, hidden layer, and output layer. The role of the input layer nodes is to transmit signals to the hidden layer, hidden layer The layer nodes are composed of radial basis functions, and the output layer nodes are usually simple linear functions.
[0029] It is applicable to this paper to assume that the network has 4 input units (material tracking error x 1 , curren...
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