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In this paper, the prefabricated building project is taken as the research objective to analyze the constraint conditions between prefabricated building projects in detail. It is proposed that the radial basis function (RBF) fuzzy logic neural network algorithm should be introduced into the optimization of building resource scheduling. Finally, the results of the experimental analysis suggest that the proposed method can effectively address the problem of resource scheduling in the prefabricated construction project, which can also provide a reference for the managers of prefabricated construction projects.<\/jats:p>","DOI":"10.3233\/jifs-189980","type":"journal-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T12:40:16Z","timestamp":1621946416000},"page":"4937-4945","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["A RBF fuzzy logic neural network algorithm for construction resource scheduling"],"prefix":"10.1177","volume":"41","author":[{"given":"Xiaobing","family":"Yu","sequence":"first","affiliation":[{"name":"Hunan Vocational College of Engineering, Xiangtan, Hunan, 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