BibTeX:

@article{IJIRSTV3I7073,
     title={Formulation of Artificial Neural Network Model for Correlating the Factors Responsible for Industrial Accidents with Severity of Accidents and Man Days Lost by using MATLAB},
     author={P R Gajbhiye, Dr A C Waghmare and Dr R H Parikh},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={7},
     pages={128--137},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I7073.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The safety and protection of people, equipment and the environment is a serious concern in the Engineering industries. Many industries have recognized the advantages of Safe Work Environments and are progressively adopting Safety Management System to prevent hazardous events, avoid production & manpower losses and other fallouts associated with industrial accidents. Safety Management is an organizational function which ensures that all the safety risks have been identified, assessed and satisfactorily mitigated. Thus the safety of the workers is the most important factor in dealing with the industrial safety. The present work utilizes artificial neural network (ANN) modelling technique for modelling. The proposed paper work envisages minimizing industrial accidents by identifying the various factors responsible for industrial accidents and developing the approximate model to correlate the causes of accidents with the severity and the man days lost.

Artificial Neural Network (ANN), ANN Parameters, MATLAB, Safety