可拓神经网络在煤炭安全预警模型中的应用
pplication of Extension Neural Network in Early-warning System for Coal Mine Safety
可拓神经网络是可拓理论和神经网络相结合而形成的一种新的方法。它巧妙地利用了可拓学的关联函数的概念,使得规则数值化,又利用了神经网络并行分布的处理结构。针对煤炭信息安全数据的多元化特点,本文提出了基于可拓神经网络的煤炭安全预警模型,仿真结果表明,该模型分析性能良好,预测精度高且简单易行,是煤炭信息安全综合评价的有效方法。
Extension neural network is the combination of the extension theory and neural networks. It takes advantages of the concept of correlation functions and parallelized, distributed processing mechanism of neural network to make rules numeric. The paper presents a coal safety warning model based on the Extension neural network with its polynary characters of information security data of coals. The simulation results show good performance and accurate prediction, which can be regarded as an effective method to comprehensively evaluate the information security data of coals.
安娜
矿山安全、矿山劳动保护矿业工程理论与方法论
可拓神经网络煤炭安全预警模型
Extension Neural Networkoal Mine SafetyEarly-warning System
安娜.可拓神经网络在煤炭安全预警模型中的应用[EB/OL].(2010-03-22)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201003-671.点此复制
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