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Taking inspiration from the fact that teachers arrange teaching activities according to students' learning situation, we propose a weight allocation function to adaptively adjust the influence weight of generator loss function on discriminator loss function. All the generators work together to improve the degree of discriminator and training sample space, so that a discriminator with excellent performance is trained and applied to the tasks of imbalanced data classification. Experimental results on the Case Western Reserve University data set and 2.4 GHz Indoor Channel Measurements data set show that the data classification ability of the discriminator trained by CLGANs with multiple generators is superior to that of other imbalanced data classification models, and the optimal discriminator can be obtained by selecting the right matching scheme of the generator models.<\/jats:p>","DOI":"10.1162\/neco_a_01470","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T23:12:56Z","timestamp":1641942776000},"page":"1045-1073","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":2,"title":["Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks"],"prefix":"10.1162","volume":"34","author":[{"given":"Yancheng","family":"Lv","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, 150001 Harbin, P.R.C. xgzlyc@163.com"}]},{"given":"Lin","family":"Lin","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, 150001 Harbin, P.R.C. waiwaiyl@163.com"}]},{"given":"Jie","family":"Liu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, 150001 Harbin, P.R.C. 624003414@qq.com"}]},{"given":"Hao","family":"Guo","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, 150001 Harbin, P.R.C. 1710044017@qq.com"}]},{"given":"Changsheng","family":"Tong","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, 150001 Harbin, P.R.C. 924534883@qq.com"}]}],"member":"281","published-online":{"date-parts":[[2022,3,23]]},"reference":[{"issue":"12","key":"2022032817110801500_B1","doi-asserted-by":"publisher","first-page":"2164","DOI":"10.1109\/LAWP.2018.2869548","article-title":"Classification of indoor environments for IT applications: A machine learning approach","volume":"17","author":"AlHajri","year":"2018","journal-title":"IEEE Antennas and Wireless Propagation Letters"},{"key":"2022032817110801500_B2","author":"Arjovsky","year":"2017","journal-title":"Wasserstein generative adversarial networks. 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