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Control Model of Watershed Water Environment System Simulating Human Neural Network Structure | Zheng | NeuroQuantology


DOI: 10.14704/nq.2018.16.5.1325

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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References


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