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Adaptive prediction system of sintering through point based on self-organize artificial neural network 被引量:5
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作者 冯其明 李 桃 +1 位作者 范晓慧 姜 涛 《中国有色金属学会会刊:英文版》 CSCD 2000年第6期804-807,共4页
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 artificia... 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.[ 展开更多
关键词 SINTERING process BURNING through POINT prediction artificial NEURAL network BP algorith
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