| Human resource configuration will produce maximal social benefitsand economic benefits by taking full advantage of staff strength,intelligence, knowledge, skills and creative force, also prompting thehuman resources and material resources to achieve a more perfect union.Reasonable allocation of human resources is one of the basic elements forkeeping social vitality. It can not only make the social organization ofhuman resource structure tend to reasonable, but also give full paly toeveryone’s talent and potential through maximizing the best use ofpersonnel before they make the best use.The major objective of this thesis includes analyzing the allocationof human resources for Zhuzhou housing accumulation fundadministration center, and setting up the model of person-job fitevaluation by the use of machine learning method, then applying it toZhuzhou housing accumulation fund administration center.The main work is making a detailed analysis on management system,personnel distribution conditions, personnel age structure, personnelquality and workload situation to Zhuzhou housing accumulation fundadministration center and providing the guarantee for the establishment ofthe model. In the process of human resource deployment for Zhuzhouhousing accumulation fund administration center, it can be found that measuring models of person-post matching based on support vectormachine have greater precision than the models based on BP artificialneural networks, and also have a more favorable effect in the case of lesssample quantity through the instance study. If organizations plan toevaluate the talent-post matching based on the measuring models ofsupport vector machine and fuzzy comprehensive evaluation method,they should first establish proper measurement index system by thescientific job analysis, then structure post matching degree matrix andpost candidate fuzzy matrices, and finally measure and calculate matchingdegree with the method of least square support vector machines. |
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