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Evaluation and Analysis of Multimedia Collaborative Building Design Relying on Particle Swarm Optimization Algorithm
Author(s) -
Tao Yang
Publication year - 2021
Publication title -
advances in multimedia
Language(s) - English
Resource type - Journals
eISSN - 1687-5699
pISSN - 1687-5680
DOI - 10.1155/2021/7843828
Subject(s) - particle swarm optimization , computer science , table (database) , adaptability , tutor , artificial neural network , plan (archaeology) , swarm behaviour , scheme (mathematics) , multi swarm optimization , algorithm , artificial intelligence , machine learning , industrial engineering , data mining , engineering , mathematics , history , ecology , mathematical analysis , archaeology , biology , programming language
This article proposes improvements to the placement, organizational structure, and adaptability of the evaluation model and proposes a comprehensive evaluation model for the multiattribute scheme of the particle swarm optimization algorithm. The structure table of the multimedia building design plan evaluation index, the plan evaluation table, and the standardized model of the plan evaluation value of the common method was proposed. It also proposes the import of “with tutor” type data of particle swarm optimization algorithm as well as the self-organizing neural network evaluation model and calculation method of “no tutor” type resource import. According to the complexity of architectural design evaluation and the nonlinear relationship between related influencing factors, we have studied the principles and methods of applying system analysis, designed comprehensive evaluation models, and comprehensively evaluated architectural design schemes.

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