用BP神经网络辨识直燃式溴化锂机组静态模型

Applying ANN and BP Algorithm to Identify Static Model Construction of the Direct-fired LiBr Absorption Chiller

讨论了直燃式溴化锂机组性能研究的方法 ,指出运用系统辨识方法来研究其特性是一种适合的方法 ;介绍了人工神经网络及其 BP算法 ;运用 BP神经网络方法辩识出它的模型 ,并对该模型进行了验证 ,结果显示该模型具有良好的泛化能力 。

This paper discusses the methodology studying,the performance of the direct fired LiBr absorption chiller,and points out that system identification is a proper method.By using the artificial neural network(ANN) and its BP algorithm,the identification model is set up and validates,and the validation result shows that the model has an excellent ability of generalization and can be expected to be used in optimizing design and control.