TY - GEN
T1 - Notice of Removal
T2 - 2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
AU - Gupta, Anish
AU - Salau, Ayodeji Olalekan
AU - Chaturvedi, Prateek
AU - Akinola, Segun Ayokunle
AU - Ikechi Nwulu, Nnamdi
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - In the last few decades, Artificial Intelligence (AI) techniques have been used extensively in numerous applications. Amongst AIs numerous techniques, the Artificial Neural Networks (ANN) has dominated in its capability and applicability in different fields. Neural is a word derived from (animal) human nervous system which represents the nerve cells or neurons present in the brain. This paper however focuses on the review of ANN and its applications in forecasting. The basic concepts of ANN, its characteristics and applications were discussed. In addition, a comparison was made between ANN and other conventional methods. The conclusion of this review shows that ANN mostly performs better than other conventional techniques in solving real-life problems.
AB - In the last few decades, Artificial Intelligence (AI) techniques have been used extensively in numerous applications. Amongst AIs numerous techniques, the Artificial Neural Networks (ANN) has dominated in its capability and applicability in different fields. Neural is a word derived from (animal) human nervous system which represents the nerve cells or neurons present in the brain. This paper however focuses on the review of ANN and its applications in forecasting. The basic concepts of ANN, its characteristics and applications were discussed. In addition, a comparison was made between ANN and other conventional methods. The conclusion of this review shows that ANN mostly performs better than other conventional techniques in solving real-life problems.
KW - Artificial neural network
KW - applications
KW - data
KW - techniques
UR - http://www.scopus.com/inward/record.url?scp=85070633360&partnerID=8YFLogxK
U2 - 10.1109/ICACTM.2019.8776701
DO - 10.1109/ICACTM.2019.8776701
M3 - Conference contribution
AN - SCOPUS:85070633360
T3 - 2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
SP - 320
EP - 324
BT - 2019 International Conference on Automation, Computational and Technology Management, ICACTM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 April 2019 through 26 April 2019
ER -