Object's details: Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network

Provider:Akademicka Platforma Czasopism

Description

Title:
Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network
Creator:
Yu, Songmao;
Wang, Lei;
Li, Tianwei
Description:
Information processing systems in sports and training applications are backboned by artificial intelligence for non-human intervening and accurate analysis. The fitness, performance, etc. outcomes are delivered by the system through learning implications over the different inputs. However, the recommendation/ prediction outcomes are down-surged in analyzing similar information due to learning complexity and non-adaptable outcome. Therefore, the problem is resolved by fragmenting and processing the information using a similarity measure. Therefore, this method is named as Sliced-Information Processing with Analogous Learning (SIP-AL). In this method, a neural network is used for deciding the processing feature for better accuracy. In the contrary case of down-surges, the information slicing based on an analogous point is performed. This prevents the continuity between redundant and continuous data preventing errors.
Object availability:
free access
Rights:
Prawa autorskie (c) 2024 Songmao Yu, Lei Wang, Tianwei Li;
https://creativecommons.org/licenses/by-nc-sa/4.0
Date:
2024.12.31
Type:
info:eu-repo/semantics/article;
info:eu-repo/semantics/publishedVersion
Language:
English
Source:
Quality in Sport; Tom 33 (2024); 57176;
Quality in Sport; Vol. 33 (2024); 57176;
2450-3118
Format:
application/pdf
Publisher:
University Center for Sports Research, Nicolaus Copernicus University, Torun, Poland
Relation: https://apcz.umk.pl/QS/article/view/57176/40933
Subject:
Data Slicing;
Information Processing;
Neural Network;
Sports Training Introduction
Identifier: https://apcz.umk.pl/QS/article/view/57176
Data provider:
Akademicka Platforma Czasopism

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