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Volume 16 No 5 (2018)
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Control Model of Watershed Water Environment System Simulating Human Neural Network Structure
Wei Zheng
Abstract
On the basis of analyzing the characteristics of watershed water environment system, the neural network control
model of watershed water environment system is established according to the neural network structure of human
brain, so as to correct the errors of traditional water environment system control. The simulation results show that
the proposed control algorithm has higher path-tracking accuracy and strong adaptability and robustness to the
dynamic uncertain factors in the watershed water environment system.
Keywords
Watershed Water Environment System, Cerebral Nervous System, Differential Correction
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