Abstract
Soccer, the most loved and watched sports over a period time has evolved radically considering the fact that the sport is no longer needs players on the field as physical existence and exertion but needs a lot of pre-planned decision making as per the positioning of the team in the league table. Soccer’s most-watched leagues such as Spanish League, English Premier League and others have seen conceptually evolved more than just viewing and involving satellite barging rights, television rights and other or all stakeholders on prominence. The proposed system need not be implemented only on soccer but can be created as a generic type for any other sport. Hence enhancing and underpinning the decision support for managers and coaches to select the best players is pivotal. Soft computing techniques and to be more specific artificial intelligence and neural networks are conceptualized in this regard as it can closely related to on rational decision making at daunting situations.
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Acknowledgements
My sincere and heartfelt thanks to my guide and mentor Dr. E. Karthikeyan for having been supportive and providing substantial inputs for the finalization and the outcome of the manuscript.
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Vijay Fidelis, J., Karthikeyan, E. (2022). Optimization of Artificial Neural Network Parameters in Selection of Players for Soccer Match. In: Aurelia, S., Hiremath, S.S., Subramanian, K., Biswas, S.K. (eds) Sustainable Advanced Computing. Lecture Notes in Electrical Engineering, vol 840. Springer, Singapore. https://doi.org/10.1007/978-981-16-9012-9_23
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