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010   $a981-13-2592-8
024 7 $a10.1007/978-981-13-2592-2
035   $a(CKB)4100000006674902
035   $a(MiAaPQ)EBC5518698
035   $a(DE-He213)978-981-13-2592-2
035   $a(PPN)243770405
035   $a(EXLCZ)994100000006674902
100   $a20181107d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMachine Learning in Sports $eIdentifying Potential Archers /$fby Rabiu Muazu Musa, Zahari Taha, Anwar P.P.Abdul Majeed, Mohamad Razali Abdullah
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (53 pages)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
311 08$a981-13-2591-X 
327   $aIntroduction -- Bio-physiological indicators in evaluating archery performance -- Psychological variables in ascertaining potential archers -- Anthropometry correlation to archery performance -- Physical fitness parameters in the identification of high potential archers -- Concluding remarks.
330   $aThis brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
606   $aComputational intelligence
606   $aSports sciences
606   $aComputer simulation
606   $aSports$xPsychological aspects
606   $aBiomedical engineering
606   $aSocial sciences$xData processing
606   $aComputational Intelligence
606   $aSport Science
606   $aComputer Modelling
606   $aSport Psychology
606   $aBiomedical Engineering and Bioengineering
606   $aComputer Application in Social and Behavioral Sciences
615  0$aComputational intelligence.
615  0$aSports sciences.
615  0$aComputer simulation.
615  0$aSports$xPsychological aspects.
615  0$aBiomedical engineering.
615  0$aSocial sciences$xData processing.
615 14$aComputational Intelligence.
615 24$aSport Science.
615 24$aComputer Modelling.
615 24$aSport Psychology.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aComputer Application in Social and Behavioral Sciences.
676   $a658.3125
700   $aMuazu Musa$b Rabiu$4aut$4http://id.loc.gov/vocabulary/relators/aut$0871676
702   $aZahari Taha$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aP.P.Abdul Majeed$b Anwar$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aAbdullah$b Mohamad Razali$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910483331303321
996   $aMachine Learning in Sports$92852250
997   $aUNINA