期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：1
页码：1418
DOI：10.15680/IJIRSET.2017.0601162
出版社：S&S Publications
摘要：A prototypical has stayed established employing an artificial neural network (ANN) to expect the benignwork performance of personnel using 10 security environment concepts determined finished literature analysis. Thetypical utilizes protection climate concepts (determinants) as ideas and safe work performance as an productivity. Athree-layer feed-forward back-propagation neural link was appropriate in building this model which has been trained,validated, and tested with sufficient data sets. The classical foresees the safe exertion behavior of workers reasonablywell. In calculation, a sympathy scrutiny was carried out to homework the effect of each construct on the safe workcomportment of employees. As a effect, security climate paradigms like controlling environment, work pressure,employees’ involvement, personal appreciation of risk, and supportive environment were significantly linked with thesafe work conduct of employees. This classical has great latent in aiding independents and customers in promoting safework performance and the efficient management of the protection of employees in construction projects.
关键词：Behavior; Neural system; Prediction; Protection climate; Hard work and people issues.
