Application of neural networks in Taiwan train quali system performance evaluation

摘要

Human capital is one of the most important elements of productivity. This study is based on the TTQS evaluation database of the Taiwan Train Quali System, TTQS, which was formulated by the Bureau of Employment and Vocational Training, Council of Labor Affairs, Taiwan. First, ANOVA results reveal that the "evaluation results" display relatively significant differences, which are used as the subjects of research. The back-propagation neural networks categorization in the data mining technique is then employed to assess the best network framework and performance of TTQS database. This study thus identifies the relevant factors that affect the effects of TTQS promotion, organizing and analysing the current conditions regarding the extent of benefits for organizations from introducing the TTQS and the assistance to them in human training. Further, to verify, from the findings, that this training quality system can effectively enhance the human capital in organizations, such that the organizations that introduce and carry out TTQS all are able to construct the human training system that satisfies themselves.