Neural Network Based Prediction Model for Job Applicants

摘要

Predictive analytics, a division of the advanced analytics that uses various techniques like machine learning, data mining and so on, to predict the future events. Predictive analytics is summarized with the data collection, modelling, statistics and deployment. It can be used to predictthe future possibilities in different areas like business, healthcare, telecom, finance. An effective technique for prediction is Artificial Neural Network. The model accuracy for prediction can be enhanced using neural networks. The model can also be used easily for prediction of output parametersbecause of its ability to solve the complex computation which are difficult to be solved by other techniques. In this paper, a brief review of Artificial Neural Network used for prediction analysis is presented with various techniques like Multi-Layer Perceptron, T-S Fuzzy Neural Networks,Support Vector Machine, Radial Basis Function Network, Levenberg-Marquardt Algorithm and Back Propagation and their applications are also presented. This paper also presents the neural network-based prediction model for job applicants which is used to predict the jobs of various applicantsbased on certain parameter ratings.