基于人工神经网络的水电工程施工安全评价

为了减小传统施工安全评价方法中主观因素过大对风险评价结果的不利影响,针对水电工程施工安全事故的动态性、随机性和模糊性特点,构建水电工程施工安全评价指标体系。通过引入人工神经网络理论,并运用MATLAB辅助设计评价模型,对水电工程施工安全进行评价。应用实例说明:该评价方法具有较高的准确性和可靠性,对于水电工程施工安全评价具有一定的应用价值。

Safety Assessment for Hydropower Construction Based on ANN

In order to reduce adverse effects that subjective factors affect the results of the risk assessment in the traditional construction safety evaluation methods, According to the dynamic random and fuzzy characteristic of hydropower construction safety accidents, safety evaluation indexes for hydropower construction are established.Then by using MATLAB to design evaluation model, ANN is applied to safety assessment for hydropower construction. A engineering example proves that the evaluation method has higher accuracy and reliability, which has a certain application value for safety evaluation of hydropower engineering construction.