用于煤与瓦斯突出预测的BP网络之C++实现
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TD713.2

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Realization of a BP Neural Network Used for the Prediction of Coal and Gas Outburst Based on C++
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    摘要:

    考虑到人工神经网络极强的非线性逼近能力,应用其来模拟煤与瓦斯突出事件与其影响因素之间的复杂非线性关系,理论上是一条可取的途径。采用面向对象程序设计方法(OOP),利用C++实现了一个用于煤与瓦斯突出预测的优化BP网络通用程序,并详细探讨了程序的构造技术和设计方法,通过实际应用证明了上述思路的可行性。

    Abstract:

    Artificial neural network is of extremely strong ability in nonlinear approach, it is a available way theoretically to imitate the complicated and non-linear relations between the incident of the coal and gas outburst and its influence factors. An optimized BP network general program used for the prediction of coal and gas outburst has been developed by use of object-oriented programming and C++. In this paper, the structuring technology and design method of the program are described in detail. The practical application has proved that the of the above- mentioned trains of thought is feasible.

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倪小明 郝吉生.用于煤与瓦斯突出预测的BP网络之C++实现[J].矿业研究与开发,2005,(4):51-54

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  • 收稿日期:2004-09-01
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