Description: This paper presents a rough set theory and dynamic feedforward neural networks combined neural network constructed. Give full play to the rough set theory and neural networks the advantage to make up for their shortcomings. And applied to practical industrial processes, in the ethylene plant cracking furnace fuel gas calorific value of control to achieve a good application effect.
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