节点文献
燃气溴化锂吸收式制冷机运行的模拟及优化
Operation Simulation and Optimizing of Gas Fired Lithium Bromide Absorption Chiller
【摘要】 结合实际的测试数据,利用神经网络反向传播网络BP算法,辨识出机组的系统模型,对机组的运行特性进行分析,并采用同样的方法对机组的运行费用进行建模和优化.研究结果表明,采用人工神经网络能很好地解决溴化锂机组的建模问题,并可根据模型对机组的运行特性进行分析.
【Abstract】 An identification system model is established by using conversed feedback network BP algorithm on the basis of the actual testing data.And the operation performance of gas-fired absorption chiller is analyzed in the same way.The research results indicate that the neural network is a good modeling method for absorption chiller and analysis of its operation performance.
【关键词】 燃气吸收式制冷机;
神经网络;
运行模拟;
优化;
【Key words】 gas absorption chiller; neural network; operation simulation; optimizing;
【Key words】 gas absorption chiller; neural network; operation simulation; optimizing;
- 【文献出处】 同济大学学报(自然科学版) ,Journal of Tongji University(Natural Science) , 编辑部邮箱 ,2007年04期
- 【分类号】TU831.4
- 【被引频次】3
- 【下载频次】167