{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T19:14:40Z","timestamp":1754162080002,"version":"3.41.2"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/iske47853.2019.9170299","type":"proceedings-article","created":{"date-parts":[[2020,8,18]],"date-time":"2020-08-18T17:10:34Z","timestamp":1597770634000},"page":"505-512","source":"Crossref","is-referenced-by-count":2,"title":["Hydrological Time Series Prediction Model Based on Deep Belief Network"],"prefix":"10.1109","author":[{"given":"Ke","family":"Li","sequence":"first","affiliation":[{"name":"Hohai University,College of Computer and Information,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufeng","family":"Yu","sequence":"additional","affiliation":[{"name":"Hohai University,College of Computer and Information,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingsheng","family":"Wan","sequence":"additional","affiliation":[{"name":"Hohai University,College of Computer and Information,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gen","family":"Li","sequence":"additional","affiliation":[{"name":"Hohai University,College of Computer and Information,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"How to Construct Deep Recurrent Neural Networks","volume":"abs 1312 6026","author":"pascanu","year":"2013","journal-title":"Computer Science"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2109382"},{"key":"ref12","first-page":"85","article-title":"Network traffic prediction model based on deep confidence echo state network","volume":"38","author":"li","year":"2018","journal-title":"Journal of Nanjing University of Posts and Telecommunications"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2014.11.008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1049\/ip-vis:20030362"},{"key":"ref15","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"ICML 10 Proceedings of the 27th International Conference on International Conference on Machine Learning Haifa"},{"key":"ref16","first-page":"178","article-title":"Real-time classi","volume":"7","author":"o\u2019connor","year":"2013","journal-title":"Frontiers in Neuroscience"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0067700"},{"key":"ref18","first-page":"170","article-title":"Application of BP neural network with L-M algorithm in power transformer fault diagnosis","volume":"88","author":"xiang","year":"2011","journal-title":"Power System Protection& Control"},{"key":"ref19","first-page":"623","article-title":"iSAX indexing and mining terabyte sized time series","author":"jin","year":"2008","journal-title":"Proc 14th ACM SIGKDD int'l conf on Knowledge Discovery and Data Mining"},{"key":"ref4","first-page":"16","article-title":"Water level prediction using BP neural network with double hidden layers based on LM algorithm","author":"ding","year":"2014","journal-title":"Statistics and Decision-making"},{"key":"ref3","first-page":"402","article-title":"Prediction of haze weather based on BP artificial neural network","volume":"32","author":"hongfu","year":"2015","journal-title":"Computer Simulation"},{"key":"ref6","first-page":"17","article-title":"BP network prediction model based on wavelet analysis and its application in annual runoff prediction","author":"xu","year":"2012","journal-title":"Hydropower Energy Science"},{"key":"ref5","first-page":"65","article-title":"Study on the process model of BP neural network hydrological forecasting optimized by genetic algorithm","author":"chu","year":"2018","journal-title":"Water Resources Planning and Design"},{"key":"ref8","first-page":"61","article-title":"Machine Learning Method Based on Neural Network","volume":"26","author":"ong","year":"2019","journal-title":"Communication World"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the Dimensionality of Data with Neural Networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-015-0962-6"},{"key":"ref1","first-page":"309","article-title":"Application of support vector machines in financial time series forecasting","volume":"29","author":"feh","year":"2007","journal-title":"Journal of University of Electronic Science & Technology of China"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24412-4_3"},{"key":"ref20","first-page":"439","article-title":"Research on fault prediction method of hydroelectric generator based on large swing data","volume":"15","author":"duan","year":"2017","journal-title":"Journal of China Academy of Water Resources and Hydropower Sciences"}],"event":{"name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","start":{"date-parts":[[2019,11,14]]},"location":"Dalian, China","end":{"date-parts":[[2019,11,16]]}},"container-title":["2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9163188\/9170202\/09170299.pdf?arnumber=9170299","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T18:29:08Z","timestamp":1753813748000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9170299\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/iske47853.2019.9170299","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}