東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Sport." ]

切換: 標籤 | MARC模式 | ISBD

Machine learning in sports = identif...

Muazu Musa, Rabiu.

FindBook

Google Book

Amazon

博客來

Machine learning in sports = identifying potential archers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning in sports/ by Rabiu Muazu Musa ... [et al.].
其他題名:	identifying potential archers /
其他作者:	Muazu Musa, Rabiu.
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xii, 45 p. :ill., digital ;24 cm.
內容註:	Introduction -- 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.
Contained By:	Springer eBooks
標題:	Archery. -
電子資源:	https://doi.org/10.1007/978-981-13-2592-2
ISBN:	9789811325922

Machine learning in sports = identifying potential archers /
Machine learning in sportsidentifying potential archers /[electronic resource] :by Rabiu Muazu Musa ... [et al.]. - Singapore :Springer Singapore :2019. - xii, 45 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Introduction -- 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.

This 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.

ISBN: 9789811325922

Standard No.: 10.1007/978-981-13-2592-2doiSubjects--Topical Terms:

608845
Archery.

LC Class. No.: GV1185 / .M873 2019

Dewey Class. No.: 799.32

Machine learning in sports = identifying potential archers /
LDR:02198nmm a2200337 a 4500 001 2178037
003 DE-He213
005 20190614144547.0
006 m d
007 cr nn 008maaau
008 191122s2019 si s 0 eng d
020 $a 9789811325922 $q (electronic bk.)
020 $a 9789811325915 $q (paper)
024 7 $a 10.1007/978-981-13-2592-2 $2 doi
035 $a 978-981-13-2592-2
040 $a GP $c GP
041 0 $a eng
050 4 $a GV1185 $b .M873 2019
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 799.32 $2 23
090 $a GV1185 $b .M149 2019
245 0 0 $a Machine learning in sports $h [electronic resource] : $b identifying potential archers / $c by Rabiu Muazu Musa ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xii, 45 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a Introduction -- 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.
520 $a This 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.
650 0 $a Archery. $3 608845
650 0 $a Machine learning. $3 533906
650 0 $a Performance $x Measurement. $3 609963
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Sport. $2 gtt $3 958545
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Sport Psychology. $3 3200390
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 892702
700 1 $a Muazu Musa, Rabiu. $3 3381814
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $3 1565541
856 4 0 $u https://doi.org/10.1007/978-981-13-2592-2
950 $a Intelligent Technologies and Robotics (Springer-42732)