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Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning

In many living phenomena, the behavior of social animals (such as ants, fish stocks, and birds) has attracted great attention, and many theories and models have emerged to simulate the behavior of biological communities. These studies are important in theory and practice and have wide application po...

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Detalles Bibliográficos
Autor principal: Lv, You
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251072/
https://www.ncbi.nlm.nih.gov/pubmed/35795735
http://dx.doi.org/10.1155/2022/2904607
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author Lv, You
author_facet Lv, You
author_sort Lv, You
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description In many living phenomena, the behavior of social animals (such as ants, fish stocks, and birds) has attracted great attention, and many theories and models have emerged to simulate the behavior of biological communities. These studies are important in theory and practice and have wide application potential in optimization methods and product design, which leads to the so-called cluster intelligence. Development of the 3D animation system can be closely combined with cluster intelligence, and the full application of cluster intelligence is conducive to continuously improve the stability of animation system design, for animation system design to bring continuous design inspiration. The purpose of the development platform is to promote the development of enterprise projects, record each stage of the animation process in 3D, form a complete industrial chain, ensure the traceability and resilience of the whole process, and provide a comprehensive and effective solution for 3D animation production.
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spelling pubmed-92510722022-07-05 Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning Lv, You Comput Intell Neurosci Research Article In many living phenomena, the behavior of social animals (such as ants, fish stocks, and birds) has attracted great attention, and many theories and models have emerged to simulate the behavior of biological communities. These studies are important in theory and practice and have wide application potential in optimization methods and product design, which leads to the so-called cluster intelligence. Development of the 3D animation system can be closely combined with cluster intelligence, and the full application of cluster intelligence is conducive to continuously improve the stability of animation system design, for animation system design to bring continuous design inspiration. The purpose of the development platform is to promote the development of enterprise projects, record each stage of the animation process in 3D, form a complete industrial chain, ensure the traceability and resilience of the whole process, and provide a comprehensive and effective solution for 3D animation production. Hindawi 2022-06-26 /pmc/articles/PMC9251072/ /pubmed/35795735 http://dx.doi.org/10.1155/2022/2904607 Text en Copyright © 2022 You Lv. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lv, You
Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning
title Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning
title_full Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning
title_fullStr Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning
title_full_unstemmed Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning
title_short Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning
title_sort application of 3d animation cluster system based on artificial intelligence and machine learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251072/
https://www.ncbi.nlm.nih.gov/pubmed/35795735
http://dx.doi.org/10.1155/2022/2904607
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