神经网络的C编程及矿井安全预测仿真

通过对人工神经网络BP模型基本原理和学习算法的分析,建立以模拟人的大脑神经处理信息的方式,进行信息并行处理和非线性转换的预测模型,使用C语言编制了BP网络学习的算法程序,在矿井瓦斯涌出量仿真实例中,用训练成功的网络分别对训练样本进行计算,预测仿真矿井的瓦斯涌出量,为矿井安全生产提供科学依据。

Neural Network, The C Programming and The Mine Safety Predicting Simulation

Based on the basic principle of artificial neural network BP model and the learning algorithm analysis, Set up to simulate a human brain neural processing information, Parallel processing and non-linear conversion of information forecasting model, Use C language compiled the BP network learning algorithm procedures, In of training sample is calculated respectively, And the network of mine safety production. an example of simulation of mine gas emission, Use training success gas emission prediction simulation, Provide a scientific basis for mine