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model of BP neural network is proposed. This method improves the local and global search capabilities of the ABC algorithm by adding adaptive local search factors and mutation factors, improves the performance of local search, and avoids local optimal conditions. The improved ABC algorithm is used to optimize the weights and thresholds of the BP neural network to establish a water quality grade prediction model. Taking the water quality monitoring data of Danjiang source (Shangzhou section) from 2015 to 2019 as the research object, it is compared with GA-BP, PSO-BP, ABC-BP, and BP models. The research results show that the improved ABC-BP algorithm has the highest prediction accuracy, faster convergence speed, stronger stability, and robustness.<\/jats:p>","DOI":"10.1155\/2021\/3688300","type":"journal-article","created":{"date-parts":[[2021,12,29]],"date-time":"2021-12-29T22:07:21Z","timestamp":1640815641000},"page":"1-11","source":"Crossref","is-referenced-by-count":6,"title":["Research on Danjiang Water Quality Prediction Based on Improved Artificial Bee Colony Algorithm and Optimized BP Neural Network"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2094-555X","authenticated-orcid":true,"given":"Jian\u2019qiang","family":"He","sequence":"first","affiliation":[{"name":"Electronic Information and Electrical College of Engineering, Shangluo University, Shangluo 726000, China"},{"name":"Shangluo Artificial Intelligence Research Center, Shangluo 726000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naian","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Communication Engineering, Xi\u2019an University of Electronic Science and Technology, Xian 710126, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mei\u2019lin","family":"Han","sequence":"additional","affiliation":[{"name":"Electronic Information and Electrical College of Engineering, Shangluo University, Shangluo 726000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Chen","sequence":"additional","affiliation":[{"name":"Electronic Information and Electrical College of Engineering, Shangluo University, Shangluo 726000, China"},{"name":"Shangluo Artificial Intelligence Research Center, Shangluo 726000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"4","key":"1","first-page":"93","article-title":"Grain size analysis and heavy metal pollution assessment of river surface sediments in Danjiang River basin","volume":"31","author":"L. 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