本文讨论了神经网络方法在双温循环系统运行中的应用，作者最初在一个课程项目中研究了该系统。循环水系统使用水作为工作介质，同时为工艺装置提供加热和冷却。操作包括温度设置和控制，通过调整管线上的15个阀门来完成。开发了一个基于神经网络的专家系统来模拟这种操作。它主要由两个子系统组成，一个用于温度设置，另一个用于温度控制。每个子系统由前端和神经网络基础组成。 神经网络以热需求（以华氏度为单位的加热和冷却温度）作为输入，以阀门调节（每个阀门的开度百分比）作为输出进行训练。训练事实是由热力学考虑得出的。前端的功能是与神经网络基础进行通信，以便将输入发送到它，并从中获取输出。还将提示控制操作员如何从前端调整阀门。关键词:计算机程序，控制，过程加热，冷却，专家系统，温度控制，阀门。引文:研讨会，ASHRAE交易，第卷。 96磅。1990年3月2日，圣路易斯

This paper discusses the application of a neural network approach toward operation of a dual-temperature hydronic system that the authors initially studied in a course project. The hydronic system uses water as the working medium to provide heating and cooling simultaneously to a process plant. The operation consists of temperature setup and control, and it is accomplished by adjusting the 15 valves on the line. A neural network-based expert system was developed to simulate such an operation. It consists mainly of two subsystems, one for temperature setup, the other for temperature control. Each subsystem is composed of a front end and a neural network base. The neural network was trained with thermal demands (heating and cooling temperature in Fahrenheit) as inputs and valve adjustment (percentage of each valve's opening) as outputs. The training facts were given by thermodynamic considerations. The function of the front end is to communicate with the neural network base, so that the inputs can be sent to and the outputs can be taken from it. The control operator is also prompted with instructions on how to adjust the valves from the front end.KEYWORDS: computer programs, controls, process heating, cooling, expert systems, temperature control, valves.