论文部分内容阅读
煤矿安全评价是预防和控制煤矿灾害事故的重要内容。将蚁群算法和神经网络结合起来,用蚁群算法来训练神经网络的权值,建立了基于蚁群算法的神经网络安全评价模型,并将其应用于煤矿安全评价。经实践证明,该模型具有神经网络广泛映射能力和全局收敛的性能。
Coal mine safety assessment is to prevent and control coal mine accidents an important part. Combining ant colony algorithm with neural network, ant colony algorithm was used to train the weights of neural network. A neural network safety evaluation model based on ant colony algorithm was established and applied to coal mine safety evaluation. The practice proves that this model has the properties of wide mapping ability and global convergence of neural network.