Talent identification of potential archers through fitness and motor ability performance variables by means of artificial neural network

Talent identification of potential archers through fitness and motor ability performance variables by means of artificial neural network

The utilisation of artificial intelligence for prediction and classification in the sport of archery is still in its infancy. The present study classified and predicted high and low potential archers from a set of fitness and motor ability variables trained on artificial neural network (ANN). 50 you...

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Bibliographic Details
Main Authors: Zahari, Taha, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, M. H. A., Hassan
Other Authors: Mohd Hasnun Ariff, Hassan
Format: Book Chapter
Language:English
English
Published: Springer Singapore 2018
Subjects:
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/21161/
http://umpir.ump.edu.my/id/eprint/21161/7/Talent%20identification%20of%20potential%20archers%20through%20fitness-fkp-2018-1.pdf
http://umpir.ump.edu.my/id/eprint/21161/13/book54%20Talent%20identification%20of%20potential%20archers%20through%20fitness%20and%20motor%20ability%20performance%20variables%20by%20means%20of%20artificial%20neural%20network.pdf

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