Abstract
Artificial neural network (ANN) is a useful technique in decision-making which can replicate the biological thinking pattern of the human decision maker. By providing the learning way of a supervised and unsupervised process, we can train the ANN to give the output as accurate to the human judgment. This technique has been used in solving multiple problems including forecasting and to predict the solution. In this work, ANN has been used for the candidates’ selection in the pharmaceutical company. To mimic the human judgment in the selection process of human resource management by supervised learning. So that we can eliminate the human judgment with ANN.
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Singh, A.K., Jha, S.K., Muley, A.V. (2019). Candidates Selection Using Artificial Neural Network Technique in a Pharmaceutical Industry. In: Bhattacharyya, S., Hassanien, A., Gupta, D., Khanna, A., Pan, I. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 56. Springer, Singapore. https://doi.org/10.1007/978-981-13-2354-6_38
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DOI: https://doi.org/10.1007/978-981-13-2354-6_38
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