Elman神经网络在起重机安全状态评估中的应用

Application of Elman Neural Network to Safety Assessment of Crane

在起重机安全状态模糊综合评判的基础上,用起重机状态参数及相应评判结果作为训练样本对,应用Elman神经网络构建了起重机状态参数与安全状态类别之间的映射关系.应用于实际起重机安全状态评估,结果表明该方法切行有效。

A elman network is established which reflects mapped relationships of the safety parameters of crane and the whole machinery work state class based on the fuzzy synthesis judgement on crane safety assessment. Actual assessment example shows that the crane safety assessment method mentioned in this paper is feasible.