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Neural network-based approach for predicting the performance of players to assist team selection in cricket

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dc.contributor.advisor Chtraranjan C
dc.contributor.author Lankeshwara RM
dc.date.accessioned 2021
dc.date.available 2021
dc.date.issued 2021
dc.identifier.citation Lankeshwara, R.M. (2021). Neural network-based approach for predicting the performance of players to assist team selection in cricket [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/19847
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19847
dc.description.abstract Player performance in international sports has become a heavily investigated field over the past few years. Although it was known to be a hard problem to solve but with the rise of Machine Learning this has become one of the more heavily investigated areas. When it comes to cricket, IPL has become one of the most popular competitions around the world. As a result of that considerable number of research has been done for IPL as well. The objective of this study is to analyse and predict the performance of players in IPL and aid the selection process of the final team. In this research Neural network is used to predict performances of players based on physical characteristics of the player and the opposition players en_US
dc.language.iso en en_US
dc.subject NEURAL NETWORKS en_US
dc.subject CRICKET en_US
dc.subject SPORTS – Performance Analysis en_US
dc.subject MACHINE LEARNING en_US
dc.subject COMPUTER SCIENCE AND ENGINEERING - Dissertation en_US
dc.subject COMPUTER SCIENCE - Dissertation en_US
dc.title Neural network-based approach for predicting the performance of players to assist team selection in cricket en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc in Computer Science and Engineering en_US
dc.identifier.department Department of Computer Science & Engineering en_US
dc.date.accept 2021
dc.identifier.accno TH4575 en_US


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