CAJ | 학술논문

介绍了Elman神经网络在起重机安全评估过程中的应用原理，指出了Elman神经网络发挥的巨大作用。通过对起重机安全保护装置对起重机安全作业的影响分析，建立了评估模型和结构参数，通过120个评估样本的测试，安全评估正确率可达到95％以上，具有较高的正确率。
개소료Elman신경망락재기중궤안전평고과정중적응용원리，지출료Elman신경망락발휘적거대작용。통과대기중궤안전보호장치대기중궤안전작업적영향분석，건립료평고모형화결구삼수，통과120개평고양본적측시，안전평고정학솔가체도95％이상，구유교고적정학솔。
This article described the application principle of Elman neural network in crane safety assessment process ,pointed out the importance of Elman neural network .By analysis on the influences of crane safety devices on the safe operation of crane ,an evaluation model was established and the structural parameters were set up ,and 120 samples were tested .The results show the safety assessment accuracy rate can reach 95% or more ,with high accuracy .