Adaptive prediction system of sintering through point based on self-organize artificial neural network

来源期刊：中国有色金属学报(英文版)2000年第6期

论文作者：冯其明 李桃 范晓慧 姜涛

文章页码：804 - 807

Key words：sintering process; burning through point; prediction; artificial neural network; BP algorithm

Abstract: A soft-sensing method of burning through point (BTP) was described and a new predictive parameter—the mathematics inflexion point of waste gas temperature curve in the middle of the strand was proposed. The artificial neural network was used in predicting BTP, modification on backpropagation algorithm was made in order to improve the convergence and self-organize the hidden-layer neurons. The adaptive prediction system developed on these techniques shows its characters such as fast, accuracy, less dependence on production data. The prediction of BTP can be used as operation guidance or control parameter.