针对尘肺病对人体的危害这一现实,本文通过建立神经元网络模型,开发了神经元网络预测系统,利用预测模块对获得的尘肺病发病数据进行了学习并以此形成了稳定的预测模式,以某矿尘肺病发病情况为例进行了评价;结果表明神经元网络模型克服了传统预测模型须建立函数的难题,且预测精度较度,具有重要理论与实际应用价值。 In view of the fact that pneumoconiosis is harmful to the human body, this paper develops a neural network prediction system by establishing a neural network model, and uses the prediction module to learn the data of the acquired pneumoconiosis and thus forms a stable prediction model. The case of a pneumoconiosis was evaluated as an example. The results show that the neural network model overcomes the problem that the traditional prediction model needs to establish a function, and the prediction accuracy is relatively high, which has important theoretical and practical value.