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垃圾焚烧炉炉温控制模糊神经网络模型研究 被引量:2

Research on Combustion Temperature Fuzzy Neural Network Model of Incinerators
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摘要 对垃圾焚烧过程进行了分析,并采用模糊神经网络方法建立了垃圾焚烧炉炉温控制模型,获得了用以控制垃圾焚烧过程的控制查询表,并在模型建立的基础上进行了仿真实验.仿真和现场应用结果表明该模糊神经网络模型能够适应复杂多变的焚烧过程的控制要求. The dynamic method is used to analyze the incineration process and the temperature control model is built by the fuzzy neural network method. The simulation and application results indicate that the fuzzy neural network model can adapt to the complex incineration process. It is an appropriate way to solve the problem of the incineration temperature control objective.
出处 《燃烧科学与技术》 EI CAS CSCD 2004年第6期516-520,共5页 Journal of Combustion Science and Technology
基金 国家自然科学基金资助项目(50276019).
关键词 垃圾焚烧 神经网络 模糊 焚烧炉 Combustion Computer simulation Fuzzy sets Mathematical models Neural networks Temperature control
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