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Firstly, the DBN Neural Network is used to carry out auto correlation analysis of the original data, and the characteristics of the data inclusion are obtained. Combined with Multitask Learning, the paper studies several related tasks simultaneously, the Neural Network can have the knowledge to new things for forecasting, and compared with the existing Neural network with single hidden layer, the data preprocessing process is reduced and better prediction results are obtained. The results show that this method shortens the training time and improves the prediction results.<\/jats:p>","DOI":"10.3233\/jifs-179282","type":"journal-article","created":{"date-parts":[[2019,6,28]],"date-time":"2019-06-28T13:07:15Z","timestamp":1561727235000},"page":"4493-4498","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Short-term free parking berths prediction based on multitask \u2013 DBN neural network"],"prefix":"10.1177","volume":"37","author":[{"given":"Hongwei","family":"Zhao","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, Jilin, P. R. China"},{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, P. R. 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