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

• 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 Section
• 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/21161/7/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; http://umpir.ump.edu.my/id/eprint/21161/; https://doi.org/10.1007/978-981-10-8788-2_32
• Institution: Universiti Malaysia Pahang

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...