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Combustion Process of the Boiler in Power Plants Based on RBF Neural Network and Genetic Algorithm

Author: WangLiRong
Tutor: HuangXian
School: North China Electric Power University (Beijing)
Course: Automation
Keywords: Boiler RBF Neural Network Genetic Algorithms Optimization
CLC: TM621.2
Type: Master's thesis
Year: 2006
Downloads: 261
Quote: 1
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Abstract


The boiler is one of the important equipment of the fire station . Power plant boiler equipment is large , complex ; process of multi- variable , large delay and strong coupling . Control and optimization problem has been the focus of attention and research in this area scholars . Paper selected RBF neural network as a modeling tool , and propose a new design of the RBF neural network method , genetic -K -means clustering algorithm hidden layer of RBF neural network node center value preferred using genetic algorithm training RBF the weights of the neural network , enhance the generalization ability of the neural network . The boiler combustion as an example, using the data collected in the field and improved algorithms to establish a system of neural network model . The real-coded genetic algorithm to find the optimal combination of input variables to achieve a multi- objective function optimization .

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations > Boilers and combustion systems
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