TY - CHAP
T1 - Candidates selection using artificial neural network technique in a pharmaceutical industry
AU - Singh, Abhishek Kumar
AU - Jha, S. K.
AU - Muley, A. V.
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2019.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85063450393
UR - https://www.scopus.com/inward/citedby.url?scp=85063450393&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-2354-6_38
DO - 10.1007/978-981-13-2354-6_38
M3 - Chapter
AN - SCOPUS:85063450393
T3 - Lecture Notes in Networks and Systems
SP - 359
EP - 366
BT - Lecture Notes in Networks and Systems
PB - Springer
ER -