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The study\u2019s motivation is based on the notion that datasets of stock index prices involve weak periodic patterns, long-term and short-term information, for which traditional approaches and current neural networks such as Autoregressive models and Support Vector Machine (SVM) may fail. This study applied Temporal Pattern Attention and Long-Short-Term Memory (TPA-LSTM) for prediction to overcome the issue. The results show that stock index prices prediction through the TPA-LSTM algorithm could achieve better prediction performance over traditional deep neural networks, such as recurrent neural network (RNN), convolutional neural network (CNN), and long and short-term time series network (LSTNet).<\/jats:p>","DOI":"10.1155\/2020\/8831893","type":"journal-article","created":{"date-parts":[[2020,12,11]],"date-time":"2020-12-11T18:39:37Z","timestamp":1607711977000},"page":"1-7","source":"Crossref","is-referenced-by-count":4,"title":["Stock Index Prices Prediction via Temporal Pattern Attention and Long-Short-Term Memory"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5740-8889","authenticated-orcid":true,"given":"Xiaolu","family":"Wei","sequence":"first","affiliation":[{"name":"Business School, Hubei University, Wuhan 430062, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3913-7085","authenticated-orcid":true,"given":"Binbin","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Hanjiang Normal University, Shiyan 442000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8269-8243","authenticated-orcid":true,"given":"Hongbing","family":"Ouyang","sequence":"additional","affiliation":[{"name":"School of Economics, Huazhong University of Science and Technology, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4787-2549","authenticated-orcid":true,"given":"Qiufeng","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Science, Northeast Agricultual University, Harbin 150038, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/bf00126626"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2017.01.009"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1351-7"},{"issue":"4","key":"4","first-page":"1554","article-title":"Practical fruits of econophysics","volume":"97","author":"H. 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