عنوان

Machine Learning in Sports :

شابک

9789811325922

شابک

9811325928

شابک اشتباه

9789811325915

شابک اشتباه

981132591X

عنوان اصلي

Machine Learning in Sports :

نام عام مواد

[Book]

ساير اطلاعات عنواني

Identifying Potential Archers /

نام نخستين پديدآور

Rabiu Muazu Musa [and 3 others].

محل نشرو پخش و غیره

Singapore :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource

عنوان فروست

Springer Briefs in applied sciences and technology

متن يادداشت

Intro; Acknowledgements; Contents; About the Authors; 1 Introduction; 1.1 Nature ofArchery; 1.2 Performance Parameters Influencing Archery Performance; 1.3 Machine Learning inSporting Activities; 1.4 K-Means Clustering; 1.5 Classification Algorithms; 1.5.1 K-Nearest Neighbour (K-NN); 1.5.2 Support Vector Machine (SVM); 1.5.3 Artificial Neural Network (ANN); 1.5.4 Logistic Regression (LR); 1.5.5 Model Performance Evaluation; 1.6 Study Participants; 1.7 Archery Shooting Test; References; 2 Bio-Physiological Indicators inEvaluating Archery Performance; 2.1 Overview; 2.2 Clustering

متن يادداشت

2.3 Classification2.4 Results andDiscussion; 2.5 Summary; References; 3 Psychological Variables inAscertaining Potential Archers; 3.1 Overview; 3.2 Clustering; 3.3 Classification; 3.4 Results andDiscussion; 3.5 Summary; References; 4 Anthropometry Correlation Towards Archery Performance; 4.1 Overview; 4.2 Clustering; 4.3 Classification; 4.4 Results andDiscussion; 4.5 Summary; References; 5 Psycho-Fitness Parameters intheIdentification ofHigh-Potential Archers; 5.1 Overview; 5.2 Clustering; 5.3 Classification; 5.4 Results andDiscussion; 5.5 Summary; References; 6 Concluding Remarks

بدون عنوان

0

بدون عنوان

8

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9789811325922

عنوان

Machine Learning in Sports.

شماره استاندارد بين المللي کتاب و موسيقي

9789811325915

موضوع مستند نشده

Archery.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Performance-- Measurement.

موضوع مستند نشده

Archery.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Biomedical engineering.

موضوع مستند نشده

Computer modelling & simulation.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Performance-- Measurement.

موضوع مستند نشده

Society & social sciences.

موضوع مستند نشده

Sports & outdoor recreation.

موضوع مستند نشده

SPORTS & RECREATION-- Field Sports.

موضوع مستند نشده

Sports psychology.

موضوع مستند نشده

SPO-- 013000

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Musa, Rabiu Muazu

مستند نام اشخاص تاييد نشده

Abdullah, Mohamad Razali.

مستند نام اشخاص تاييد نشده

Maje Anwar P. P.Abdul.

مستند نام اشخاص تاييد نشده

Taha, Zahari.

تاريخ عمليات

20200823235340.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y