该系统利用BP回馈神经网络算法实现对安全评价样本的学习、测试，能够正确形成安全事故各个影响因子的权重值，并且将样本和评价结果保存在数据库中，通过预测的方法为安全评价提供了一种新的途径。-The system uses neural network BP algorithm back to the safety assessment of the learning sample, test, to correct safety-related incidents affecting the for

通过scikit-learn库利用tf.contrib.learn函数生成三层神经网络模型直接对读入数据进行训练并且对于数据可以进行预测。(Through the scikit-learn library, the tf.contrib.learn function is used to generate three layers of neural network model, and the data is trained directly, and the data can be pred