基于遗传优化BP神经网络的员工绩效评估实证研究
기우유전우화BP신경망락적원공적효평고실증연구
An empirical study on employee performance appraisal by BP neural network based on genetic algorithm optimization
  • 万方数据
    贵州师范大学学报：自然科学版 귀주사범대학학보：자연과학판
    Journal of Guizhou Normal University(Natural Sciences)
    2012年 5期 89-93 ,共5页

    田丽%段争光%王勇%高来鑫%周明龙

    전려%단쟁광%왕용%고래흠%주명룡

    BP神经网络%遗传算法%绩效评估 BP神經網絡%遺傳算法%績效評估
    BP신경망락%유전산법%적효평고
    BP neural network%genetic algorithm%performance appraisal
    首先介绍了基于BP神经网络的单位员工绩效评估模型，再通过遗传算法对BP神经网络的参数进行优化，提高了BP神经网络算法进行绩效评估的精度和效率。最后通过实证分析证明了此算法在单位员工绩效评估中的可行性和有效性。
    수선개소료기우BP신경망락적단위원공적효평고모형，재통과유전산법대BP신경망락적삼수진행우화，제고료BP신경망락산법진행적효평고적정도화효솔。최후통과실증분석증명료차산법재단위원공적효평고중적가행성화유효성。
    This paper introduces the employee performance appraisal model based on BP neural network. Then optimizes the parameters of BP neural network by genetic algorithm to improve the accuracy and efficiency of performance appraisal. Through concrete example proves the feasibility and effectiveness of this algorithm in performance appraisal.
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