基于神经网络辨识和PLC控制的邮件分拣系统
기우신경망락변식화PLC공제적유건분간계통
Mail Sorting System Based on Identification of Neural Network and PLC
  • 万方数据
    山西电子技术 산서전자기술
    SHANXI ELECTRONIC TECHNOLOGY
    2012年 2期 12-13 ,共2页

    席作鹏%安志胜%李国祯%彭勃%李晔

    석작붕%안지성%리국정%팽발%리엽

    神经网络%模式辨识%PLC 神經網絡%模式辨識%PLC
    신경망락%모식변식%PLC
    neural network%pattern recognition%PLC
    采用了具有自适应学习速率和附加动量因子的神经网络,实现了邮政编码模式识别的方法;并将辨识后的结果送入到PLC控制器中,通过PLC实现对邮件的自动分拣。上机实验运行表明效果良好。
    채용료구유자괄응학습속솔화부가동량인자적신경망락,실현료유정편마모식식별적방법;병장변식후적결과송입도PLC공제기중,통과PLC실현대유건적자동분간。상궤실험운행표명효과량호。
    Based on the neural network which has the adapting learning rate and additional momentum factor,a new method is presented to recognize the postal codes.The result of the identification is sent to the PLC which controls the automatic mail sorting system.Experimental simulation proves the control effect is very well.
    원문보기 원문다운로드 사이트로이동
저자의 최근 논문