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FCM (Fuzzy C-means) algorithm was adopted to classify them. Based on the EM (Expectation Maximization) algorithm, fuzzy sub-models of ammonia nitrogen concentration were constructed around each operating point, and finally the fuzzy sub-models were combined according to the posterior distribution of the characteristics of the sampling data. Based on the data collected at Xinyulong Marine Biological Seed Technology Co., Ltd, in Dalian China, the ammonia nitrogen concentration prediction model was tested and verified.<\/jats:p>","DOI":"10.3233\/jifs-239032","type":"journal-article","created":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T14:00:31Z","timestamp":1714140031000},"page":"233-244","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-model of ammonia nitrogen in aquaculture water based on EM algorithm"],"prefix":"10.1177","volume":"48","author":[{"given":"Wei","family":"Wang","sequence":"first","affiliation":[{"name":"College of Information Engineering, Dalian Ocean University, Dalian, China"},{"name":"Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, China"},{"name":"Dalian Key Laboratory of Smart Fisheries, Dalian, China"}]},{"given":"Dehao","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Dalian Ocean University, Dalian, China"},{"name":"Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, China"}]},{"given":"Jing","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Dalian Ocean University, Dalian, China"},{"name":"Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, China"}]},{"given":"Jian","family":"Rong","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Dalian Ocean University, Dalian, China"},{"name":"Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, China"}]},{"given":"Donggang","family":"He","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Dalian Ocean University, Dalian, China"}]},{"given":"Shuangshuang","family":"Li","sequence":"additional","affiliation":[{"name":"Dalian Xinyulong Marine Biological Seed Technology Co., Ltd., Dalian, China"}]}],"member":"179","published-online":{"date-parts":[[2024,4,24]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.4314\/njt.v35i2.29"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.4308\/hjb.21.1.21"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1139\/f78-165"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2795555"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-1994-2306"},{"issue":"1","key":"e_1_3_1_7_2","first-page":"454","article-title":"A soft-sensing approach to on-line predicting ammonia nitrogen based on RBF neural networks","volume":"978","author":"Changhui D.","year":"2009","unstructured":"ChanghuiD., DeyanK., YanhongS., et al., A soft-sensing approach to on-line predicting ammonia nitrogen based on RBF neural networks, International Conferences on Embedded Software and Systems 978(1) (2009), 454\u2013458.","journal-title":"International Conferences on Embedded Software and Systems"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2011.01.004"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2014.2379252"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aquaculture.2011.05.045"},{"key":"e_1_3_1_11_2","doi-asserted-by":"crossref","unstructured":"McLachlanG. 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