BP神经网络对快烧瓷质砖烧成工况辩识的研究

STUDY ON THE IDENTIFICATION IN FAST FIRING PROCESS OF EXTERNAL WALL TILES BY MEANS OF THE BP ARTIFICAL NEURAL NETWORK

本文简述了BP神经网络结构与算法，利用BP神经网络对实验电炉焙烧瓷质砖的烧成工况进行了辩识实验，取得了较满意的辩识结果，并提出选择辩识参数时应选对烧成工况取关键作用的参数，以提高辩识模型的识别率。

In this paper, the structure and algorithm of BP artifical neural network are introduced. BP model of artifical neural network is used in the indentification experiments of firing process in the electric furance. The indetification result shows the method's feasibility. In order to improve identification precision, what plays a key role in the firing process, must be selected as the identification parameters.