Algorithms for better representation and faster learning in radial basis function networks
Advances in neural information processing systems 2
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Decision trees can initialize radial-basis function networks
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
Within the past century, many management researchers have worked on a different model for evaluating and selecting suitable individuals for different jobs. They have studied this issue from different view points and proposed numerous models in different fields such as industrial psychology, human resources management, organizational behavior, etc. But the proposed models in each field are generally qualitative, and quantitative models that have been less used were not able to solve the qualify matters. One field which has been much ignored relates the study of behavioral indices of the employee or applicants and their compatibility with the certain jobs. To solve this problem, in this paper a neural network model is design and use to assign individuals to jobs optimally on the basis of individual's merit. In the introduce model first determining the standard values of behavioral features required for different jobs by referring experts. Then through relevant behavioral tests, the behavioral indices of the applicants will be evaluated, and the results will be compared with a neural network model that made from the view points of expert. Finally, the result is used by a linear assignment technique to select qualified individuals for different jobs.