Artigos de revistas sobre o tema "Long Short-Term Memory network ( LSTM)"
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Hochreiter, Sepp, e Jürgen Schmidhuber. "Long Short-Term Memory". Neural Computation 9, n.º 8 (1 de novembro de 1997): 1735–80. http://dx.doi.org/10.1162/neco.1997.9.8.1735.
Texto completo da fonteSingh, Arjun, Shashi Kant Dargar, Amit Gupta, Ashish Kumar, Atul Kumar Srivastava, Mitali Srivastava, Pradeep Kumar Tiwari e Mohammad Aman Ullah. "Evolving Long Short-Term Memory Network-Based Text Classification". Computational Intelligence and Neuroscience 2022 (21 de fevereiro de 2022): 1–11. http://dx.doi.org/10.1155/2022/4725639.
Texto completo da fonteChen Wang, Chen Wang, Bingchun Liu Chen Wang, Jiali Chen Bingchun Liu e Xiaogang Yu Jiali Chen. "Air Quality Index Prediction Based on a Long Short-Term Memory Artificial Neural Network Model". 電腦學刊 34, n.º 2 (abril de 2023): 069–79. http://dx.doi.org/10.53106/199115992023043402006.
Texto completo da fonteLiu, Chen. "Long short-term memory (LSTM)-based news classification model". PLOS ONE 19, n.º 5 (30 de maio de 2024): e0301835. http://dx.doi.org/10.1371/journal.pone.0301835.
Texto completo da fonteZhou, Chenze. "Long Short-term Memory Applied on Amazon's Stock Prediction". Highlights in Science, Engineering and Technology 34 (28 de fevereiro de 2023): 71–76. http://dx.doi.org/10.54097/hset.v34i.5380.
Texto completo da fonteXu, Wei, Yanan Jiang, Xiaoli Zhang, Yi Li, Run Zhang e Guangtao Fu. "Using long short-term memory networks for river flow prediction". Hydrology Research 51, n.º 6 (5 de outubro de 2020): 1358–76. http://dx.doi.org/10.2166/nh.2020.026.
Texto completo da fonteKumar, Naresh, Jatin Bindra, Rajat Sharma e Deepali Gupta. "Air Pollution Prediction Using Recurrent Neural Network, Long Short-Term Memory and Hybrid of Convolutional Neural Network and Long Short-Term Memory Models". Journal of Computational and Theoretical Nanoscience 17, n.º 9 (1 de julho de 2020): 4580–84. http://dx.doi.org/10.1166/jctn.2020.9283.
Texto completo da fonteSong, Tianyu, Wei Ding, Jian Wu, Haixing Liu, Huicheng Zhou e Jinggang Chu. "Flash Flood Forecasting Based on Long Short-Term Memory Networks". Water 12, n.º 1 (29 de dezembro de 2019): 109. http://dx.doi.org/10.3390/w12010109.
Texto completo da fonteZoremsanga, Chawngthu, e Jamal Hussain. "An Evaluation of Bidirectional Long Short-Term Memory Model for Estimating Monthly Rainfall in India". Indian Journal Of Science And Technology 17, n.º 18 (24 de abril de 2024): 1828–37. http://dx.doi.org/10.17485/ijst/v17i18.2505.
Texto completo da fonteMuneer, Amgad, Rao Faizan Ali, Ahmed Almaghthawi, Shakirah Mohd Taib, Amal Alghamdi e Ebrahim Abdulwasea Abdullah Ghaleb. "Short term residential load forecasting using long short-term memory recurrent neural network". International Journal of Electrical and Computer Engineering (IJECE) 12, n.º 5 (1 de outubro de 2022): 5589. http://dx.doi.org/10.11591/ijece.v12i5.pp5589-5599.
Texto completo da fonteAwad, Asmaa Ahmed, Ahmed Fouad Ali e Tarek Gaber. "An improved long short term memory network for intrusion detection". PLOS ONE 18, n.º 8 (1 de agosto de 2023): e0284795. http://dx.doi.org/10.1371/journal.pone.0284795.
Texto completo da fonteTra, Nguyen Ngoc, Ho Phuoc Tien, Nguyen Thanh Dat e Nguyen Ngoc Vu. "VN-INDEX TREND PREDICTION USING LONG-SHORT TERM MEMORY NEURAL NETWORKS". Journal of Science and Technology: Issue on Information and Communications Technology 17, n.º 12.2 (9 de dezembro de 2019): 61. http://dx.doi.org/10.31130/ict-ud.2019.94.
Texto completo da fonteBhandarkar, Tanvi, Vardaan K, Nikhil Satish, S. Sridhar, R. Sivakumar e Snehasish Ghosh. "Earthquake trend prediction using long short-term memory RNN". International Journal of Electrical and Computer Engineering (IJECE) 9, n.º 2 (1 de abril de 2019): 1304. http://dx.doi.org/10.11591/ijece.v9i2.pp1304-1312.
Texto completo da fonteHu, Sile, Wenbin Cai, Jun Liu, Hao Shi e Jiawei Yu. "Refining Short-Term Power Load Forecasting: An Optimized Model with Long Short-Term Memory Network". Volume 31, Issue 3 31, n.º 3 (4 de abril de 2024): 151–66. http://dx.doi.org/10.20532/cit.2023.1005730.
Texto completo da fonteLv, Liujia, Weijian Kong, Jie Qi e Jue Zhang. "An improved long short-term memory neural network for stock forecast". MATEC Web of Conferences 232 (2018): 01024. http://dx.doi.org/10.1051/matecconf/201823201024.
Texto completo da fonteLi, Siyao, Rui Qin e Zijian Zhou. "Movie sentiment analysis based on Long Short-Term Memory Network". Applied and Computational Engineering 38, n.º 1 (22 de janeiro de 2024): 16–25. http://dx.doi.org/10.54254/2755-2721/38/20230524.
Texto completo da fonteShankar, Sonali, P. Vigneswara Ilavarasan, Sushil Punia e Surya Prakash Singh. "Forecasting container throughput with long short-term memory networks". Industrial Management & Data Systems 120, n.º 3 (4 de dezembro de 2019): 425–41. http://dx.doi.org/10.1108/imds-07-2019-0370.
Texto completo da fonteBi, Ruoxue. "Long-term and short-term memory network based movie comment sentiment analysis". Applied and Computational Engineering 36, n.º 1 (22 de janeiro de 2024): 150–55. http://dx.doi.org/10.54254/2755-2721/36/20230437.
Texto completo da fonteZhang, Suqin. "Stock price prediction based on the long short-term memory network". Applied and Computational Engineering 18, n.º 1 (23 de outubro de 2023): 28–32. http://dx.doi.org/10.54254/2755-2721/18/20230958.
Texto completo da fonteSun, Lichao, Hang Qin, Krzysztof Przystupa, Michal Majka e Orest Kochan. "Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network". Sensors 22, n.º 20 (17 de outubro de 2022): 7900. http://dx.doi.org/10.3390/s22207900.
Texto completo da fonteHan, Mingchong, Aiguo Tan e Jianwei Zhong. "Application of Particle Swarm Optimization Combined with Long and Short-term Memory Networks for Short-term Load Forecasting". Journal of Physics: Conference Series 2203, n.º 1 (1 de fevereiro de 2022): 012047. http://dx.doi.org/10.1088/1742-6596/2203/1/012047.
Texto completo da fonteDeshpande, Vivek. "Implementation of Long Short-Term Memory (LSTM) Networks for Stock Price Prediction". Research Journal of Computer Systems and Engineering 4, n.º 2 (31 de dezembro de 2023): 60–72. http://dx.doi.org/10.52710/rjcse.74.
Texto completo da fonteWei, Xiaolu, Binbin Lei, Hongbing Ouyang e Qiufeng Wu. "Stock Index Prices Prediction via Temporal Pattern Attention and Long-Short-Term Memory". Advances in Multimedia 2020 (10 de dezembro de 2020): 1–7. http://dx.doi.org/10.1155/2020/8831893.
Texto completo da fonteKratzert, Frederik, Daniel Klotz, Claire Brenner, Karsten Schulz e Mathew Herrnegger. "Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks". Hydrology and Earth System Sciences 22, n.º 11 (22 de novembro de 2018): 6005–22. http://dx.doi.org/10.5194/hess-22-6005-2018.
Texto completo da fonteBalmuri, Kavitha Rani, Srinivas Konda, Wen-Cheng Lai, Parameshachari Bidare Divakarachari, Kavitha Malali Vishveshwarappa Gowda e Hemalatha Kivudujogappa Lingappa. "A Long Short-Term Memory Network-Based Radio Resource Management for 5G Network". Future Internet 14, n.º 6 (14 de junho de 2022): 184. http://dx.doi.org/10.3390/fi14060184.
Texto completo da fonteMin, Huasong, Ziming Chen, Bin Fang, Ziwei Xia, Yixu Song, Zongtao Wang, Quan Zhou, Fuchun Sun e Chunfang Liu. "Cross-Individual Gesture Recognition Based on Long Short-Term Memory Networks". Scientific Programming 2021 (6 de julho de 2021): 1–11. http://dx.doi.org/10.1155/2021/6680417.
Texto completo da fonteWang, Jianyong, Lei Zhang, Yuanyuan Chen e Zhang Yi. "A New Delay Connection for Long Short-Term Memory Networks". International Journal of Neural Systems 28, n.º 06 (24 de junho de 2018): 1750061. http://dx.doi.org/10.1142/s0129065717500617.
Texto completo da fonteAlamri, Nawaf Mohammad H., Michael Packianather e Samuel Bigot. "Optimizing the Parameters of Long Short-Term Memory Networks Using the Bees Algorithm". Applied Sciences 13, n.º 4 (16 de fevereiro de 2023): 2536. http://dx.doi.org/10.3390/app13042536.
Texto completo da fonteBALOGLU, ULAS BARAN, e ÖZAL YILDIRIM. "CONVOLUTIONAL LONG-SHORT TERM MEMORY NETWORKS MODEL FOR LONG DURATION EEG SIGNAL CLASSIFICATION". Journal of Mechanics in Medicine and Biology 19, n.º 01 (fevereiro de 2019): 1940005. http://dx.doi.org/10.1142/s0219519419400050.
Texto completo da fonteSugiartawan, Putu, Agus Aan Jiwa Permana e Paholo Iman Prakoso. "Forecasting Kunjungan Wisatawan Dengan Long Short Term Memory (LSTM)". Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) 1, n.º 1 (30 de setembro de 2018): 43–52. http://dx.doi.org/10.33173/jsikti.5.
Texto completo da fonteNoor, Fahima, Sanaulla Haq, Mohammed Rakib, Tarik Ahmed, Zeeshan Jamal, Zakaria Shams Siam, Rubyat Tasnuva Hasan, Mohammed Sarfaraz Gani Adnan, Ashraf Dewan e Rashedur M. Rahman. "Water Level Forecasting Using Spatiotemporal Attention-Based Long Short-Term Memory Network". Water 14, n.º 4 (17 de fevereiro de 2022): 612. http://dx.doi.org/10.3390/w14040612.
Texto completo da fonteIzzadiana, Helma Syifa, Herlina Napitupulu e Firdaniza Firdaniza. "Peramalan Data Univariat Menggunakan Metode Long Short Term Memory". SisInfo : Jurnal Sistem Informasi dan Informatika 5, n.º 2 (18 de agosto de 2023): 29–39. http://dx.doi.org/10.37278/sisinfo.v5i2.669.
Texto completo da fonteZhang, Jun, Xiyao Cao, Jiemin Xie e Pangao Kou. "An Improved Long Short-Term Memory Model for Dam Displacement Prediction". Mathematical Problems in Engineering 2019 (24 de abril de 2019): 1–14. http://dx.doi.org/10.1155/2019/6792189.
Texto completo da fonteLei, Tengfei, Rita Yi Man Li, Nuttapong Jotikastira, Haiyan Fu e Cong Wang. "Prediction for the Inventory Management Chaotic Complexity System Based on the Deep Neural Network Algorithm". Complexity 2023 (12 de maio de 2023): 1–11. http://dx.doi.org/10.1155/2023/9369888.
Texto completo da fontePutera Khano, Muhammad Nazhif Abda, Dewi Retno Sari Saputro, Sutanto Sutanto e Antoni Wibowo. "SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS". BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, n.º 4 (19 de dezembro de 2023): 2235–42. http://dx.doi.org/10.30598/barekengvol17iss4pp2235-2242.
Texto completo da fonteWang, Lipeng. "An Improved Long Short-Term Memory Neural Network for Macroeconomic Forecast". Revue d'Intelligence Artificielle 34, n.º 5 (20 de novembro de 2020): 577–84. http://dx.doi.org/10.18280/ria.340507.
Texto completo da fonteLiu, Feiyang, Panke Qin, Junru You e Yanyan Fu. "Sparrow Search Algorithm-Optimized Long Short-Term Memory Model for Stock Trend Prediction". Computational Intelligence and Neuroscience 2022 (12 de agosto de 2022): 1–11. http://dx.doi.org/10.1155/2022/3680419.
Texto completo da fonteLees, Thomas, Steven Reece, Frederik Kratzert, Daniel Klotz, Martin Gauch, Jens De Bruijn, Reetik Kumar Sahu, Peter Greve, Louise Slater e Simon J. Dadson. "Hydrological concept formation inside long short-term memory (LSTM) networks". Hydrology and Earth System Sciences 26, n.º 12 (20 de junho de 2022): 3079–101. http://dx.doi.org/10.5194/hess-26-3079-2022.
Texto completo da fonteSong, Fei, Yong Li, Wei Cheng e Limeng Dong. "Learning to Track Multiple Radar Targets with Long Short-Term Memory Networks". Wireless Communications and Mobile Computing 2023 (15 de fevereiro de 2023): 1–9. http://dx.doi.org/10.1155/2023/1033371.
Texto completo da fonteLiao, Chin-Wen, I.-Chi Wang, Kuo-Ping Lin e Yu-Ju Lin. "A Fuzzy Seasonal Long Short-Term Memory Network for Wind Power Forecasting". Mathematics 9, n.º 11 (23 de maio de 2021): 1178. http://dx.doi.org/10.3390/math9111178.
Texto completo da fonteYang, Tianyi, Quanming Zhao e Yifan Meng. "Ultra-short-term Photovoltaic Power Prediction Based on Multi-head ProbSparse Self-attention and Long Short-term Memory". Journal of Physics: Conference Series 2558, n.º 1 (1 de agosto de 2023): 012007. http://dx.doi.org/10.1088/1742-6596/2558/1/012007.
Texto completo da fonteMukhlis, Mukhlis, Aziz Kustiyo e Aries Suharso. "Peramalan Produksi Pertanian Menggunakan Model Long Short-Term Memory". BINA INSANI ICT JOURNAL 8, n.º 1 (24 de junho de 2021): 22. http://dx.doi.org/10.51211/biict.v8i1.1492.
Texto completo da fonteZhang, Tianren. "COVID-19 Epidemic Trend Prediction using Long Short-term Memory Network". Highlights in Science, Engineering and Technology 39 (1 de abril de 2023): 258–65. http://dx.doi.org/10.54097/hset.v39i.6537.
Texto completo da fonteNguyen, Sang Thi Thanh, e Bao Duy Tran. "Long Short-Term Memory Based Movie Recommendation". Science & Technology Development Journal - Engineering and Technology 3, SI1 (19 de setembro de 2020): SI1—SI9. http://dx.doi.org/10.32508/stdjet.v3isi1.540.
Texto completo da fonteLiu, Jinyuan, Shouxi Wang, Nan Wei, Yi Yang, Yihao Lv, Xu Wang e Fanhua Zeng. "An Enhancement Method Based on Long Short-Term Memory Neural Network for Short-Term Natural Gas Consumption Forecasting". Energies 16, n.º 3 (26 de janeiro de 2023): 1295. http://dx.doi.org/10.3390/en16031295.
Texto completo da fonteZhang, Jiaan, Chenyu Liu e Leijiao Ge. "Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN". Energies 15, n.º 7 (4 de abril de 2022): 2633. http://dx.doi.org/10.3390/en15072633.
Texto completo da fonteSon, Hojae, Anand Paul e Gwanggil Jeon. "Country Information Based on Long-Term Short-Term Memory (LSTM)". International Journal of Engineering & Technology 7, n.º 4.44 (1 de dezembro de 2018): 47. http://dx.doi.org/10.14419/ijet.v7i4.44.26861.
Texto completo da fonteSher, Madiha, Nasru Minallah, Tufail Ahmad e Waleed Khan. "Hyperparameters analysis of long short-term memory architecture for crop classification". International Journal of Electrical and Computer Engineering (IJECE) 13, n.º 4 (1 de agosto de 2023): 4661. http://dx.doi.org/10.11591/ijece.v13i4.pp4661-4670.
Texto completo da fonteMuhuri, Pramita Sree, Prosenjit Chatterjee, Xiaohong Yuan, Kaushik Roy e Albert Esterline. "Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks". Information 11, n.º 5 (1 de maio de 2020): 243. http://dx.doi.org/10.3390/info11050243.
Texto completo da fonteXie, Anqi, Hao Yang, Jing Chen, Li Sheng e Qian Zhang. "A Short-Term Wind Speed Forecasting Model Based on a Multi-Variable Long Short-Term Memory Network". Atmosphere 12, n.º 5 (19 de maio de 2021): 651. http://dx.doi.org/10.3390/atmos12050651.
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