基于神经网络的燃煤发热量在线预测系统设计

Design of a coal calorific value on-line predicting system based on ANN

鉴于煤发热量预测不准确和人工神经网络实现困难等问题,介绍了怎样使用VC++和Matlab混合编程实现煤高位发热量在线预测的过程,以及这种方式的优点和使用前景.该方法用VC++MFC应用程序调用Matlab的引擎,并在后台程序中创建一个BP神经网络,最后在应用程序中完成对煤高位发热量的预测,实验结果令人满意.把该思想应用到在线煤质检测上不失为一种好方法.

In view of the difficulties of the prediction of calorific value of coal and the realization of ANN, this article presents a method of using VC ＋ ＋ and Matlab to predict the high calorific value of coal and its advantage on-line. This process is that VC ＋ ＋ MFC calls the engine of Matlab, creates a BP artificial neural network in a background program, and finally obtains the contented result. So it is a good method that this idea will be used in on-line prediction of coal.