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Intelligent management system based on neural networks of urban water supply

Author: ZengGuang
Tutor: LiangHuiBing
School: Guangdong University of Technology
Course: Control Theory and Control Engineering
Keywords: Neural Networks Water supply network Forecast Dispatch Active X Hybrid Programming
CLC: TP183
Type: Master's thesis
Year: 2000
Downloads: 330
Quote: 1
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Abstract


From the actual situation of China 's water supply network , neural network technology suitable for China's national conditions is discussed in the forecasting and scheduling of water supply pipe network , mainly for the following aspects of work : urban water supply systems DM - RBF algorithm developed for water supply load forecasting using neural network . Compared to the performance of the proposed DM - RBF neural network and other neural network , we found that the algorithm has excellent performance . Simulated annealing algorithm, genetic algorithm , and on this basis, the genetic annealing algorithm and simulated annealing algorithm is applied to the water supply system with genetic programming to optimize the scheduling . Simulation results show that these four nerves optimization algorithm optimization scheduling results are better than the traditional optimization scheduling method , and the latter two new algorithm is better than the first two typical algorithms , not only the global optimal solution, and the pipe network running costs has also been greatly reduced, is conducive to a more economic operation of the water supply system . Active X technology to achieve the other software and Matlab mixed programming , you can give full play to Matlab powerful computing capabilities on the basis of development and lay the foundation for a variety of good man-machine interface software . In the original basis for the development of neural network algorithm , VB , Matlab and Access mixed programming , developed urban water supply intelligent management system , and the system has good man-machine interface , to complete the management of water supply systems , water supply load forecasting , scheduling, etc. functions.

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