Artykuły w czasopismach na temat „Long Short-Term Memory network ( LSTM)”
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Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Long Short-Term Memory network ( LSTM)”.
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Hochreiter, Sepp, i Jürgen Schmidhuber. "Long Short-Term Memory". Neural Computation 9, nr 8 (1.11.1997): 1735–80. http://dx.doi.org/10.1162/neco.1997.9.8.1735.
Pełny tekst źródłaSingh, Arjun, Shashi Kant Dargar, Amit Gupta, Ashish Kumar, Atul Kumar Srivastava, Mitali Srivastava, Pradeep Kumar Tiwari i Mohammad Aman Ullah. "Evolving Long Short-Term Memory Network-Based Text Classification". Computational Intelligence and Neuroscience 2022 (21.02.2022): 1–11. http://dx.doi.org/10.1155/2022/4725639.
Pełny tekst źródłaChen Wang, Chen Wang, Bingchun Liu Chen Wang, Jiali Chen Bingchun Liu i Xiaogang Yu Jiali Chen. "Air Quality Index Prediction Based on a Long Short-Term Memory Artificial Neural Network Model". 電腦學刊 34, nr 2 (kwiecień 2023): 069–79. http://dx.doi.org/10.53106/199115992023043402006.
Pełny tekst źródłaLiu, Chen. "Long short-term memory (LSTM)-based news classification model". PLOS ONE 19, nr 5 (30.05.2024): e0301835. http://dx.doi.org/10.1371/journal.pone.0301835.
Pełny tekst źródłaZhou, Chenze. "Long Short-term Memory Applied on Amazon's Stock Prediction". Highlights in Science, Engineering and Technology 34 (28.02.2023): 71–76. http://dx.doi.org/10.54097/hset.v34i.5380.
Pełny tekst źródłaXu, Wei, Yanan Jiang, Xiaoli Zhang, Yi Li, Run Zhang i Guangtao Fu. "Using long short-term memory networks for river flow prediction". Hydrology Research 51, nr 6 (5.10.2020): 1358–76. http://dx.doi.org/10.2166/nh.2020.026.
Pełny tekst źródłaKumar, Naresh, Jatin Bindra, Rajat Sharma i 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, nr 9 (1.07.2020): 4580–84. http://dx.doi.org/10.1166/jctn.2020.9283.
Pełny tekst źródłaSong, Tianyu, Wei Ding, Jian Wu, Haixing Liu, Huicheng Zhou i Jinggang Chu. "Flash Flood Forecasting Based on Long Short-Term Memory Networks". Water 12, nr 1 (29.12.2019): 109. http://dx.doi.org/10.3390/w12010109.
Pełny tekst źródłaZoremsanga, Chawngthu, i Jamal Hussain. "An Evaluation of Bidirectional Long Short-Term Memory Model for Estimating Monthly Rainfall in India". Indian Journal Of Science And Technology 17, nr 18 (24.04.2024): 1828–37. http://dx.doi.org/10.17485/ijst/v17i18.2505.
Pełny tekst źródłaMuneer, Amgad, Rao Faizan Ali, Ahmed Almaghthawi, Shakirah Mohd Taib, Amal Alghamdi i 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, nr 5 (1.10.2022): 5589. http://dx.doi.org/10.11591/ijece.v12i5.pp5589-5599.
Pełny tekst źródłaAwad, Asmaa Ahmed, Ahmed Fouad Ali i Tarek Gaber. "An improved long short term memory network for intrusion detection". PLOS ONE 18, nr 8 (1.08.2023): e0284795. http://dx.doi.org/10.1371/journal.pone.0284795.
Pełny tekst źródłaTra, Nguyen Ngoc, Ho Phuoc Tien, Nguyen Thanh Dat i 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, nr 12.2 (9.12.2019): 61. http://dx.doi.org/10.31130/ict-ud.2019.94.
Pełny tekst źródłaBhandarkar, Tanvi, Vardaan K, Nikhil Satish, S. Sridhar, R. Sivakumar i Snehasish Ghosh. "Earthquake trend prediction using long short-term memory RNN". International Journal of Electrical and Computer Engineering (IJECE) 9, nr 2 (1.04.2019): 1304. http://dx.doi.org/10.11591/ijece.v9i2.pp1304-1312.
Pełny tekst źródłaHu, Sile, Wenbin Cai, Jun Liu, Hao Shi i Jiawei Yu. "Refining Short-Term Power Load Forecasting: An Optimized Model with Long Short-Term Memory Network". Volume 31, Issue 3 31, nr 3 (4.04.2024): 151–66. http://dx.doi.org/10.20532/cit.2023.1005730.
Pełny tekst źródłaLv, Liujia, Weijian Kong, Jie Qi i 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.
Pełny tekst źródłaLi, Siyao, Rui Qin i Zijian Zhou. "Movie sentiment analysis based on Long Short-Term Memory Network". Applied and Computational Engineering 38, nr 1 (22.01.2024): 16–25. http://dx.doi.org/10.54254/2755-2721/38/20230524.
Pełny tekst źródłaShankar, Sonali, P. Vigneswara Ilavarasan, Sushil Punia i Surya Prakash Singh. "Forecasting container throughput with long short-term memory networks". Industrial Management & Data Systems 120, nr 3 (4.12.2019): 425–41. http://dx.doi.org/10.1108/imds-07-2019-0370.
Pełny tekst źródłaBi, Ruoxue. "Long-term and short-term memory network based movie comment sentiment analysis". Applied and Computational Engineering 36, nr 1 (22.01.2024): 150–55. http://dx.doi.org/10.54254/2755-2721/36/20230437.
Pełny tekst źródłaZhang, Suqin. "Stock price prediction based on the long short-term memory network". Applied and Computational Engineering 18, nr 1 (23.10.2023): 28–32. http://dx.doi.org/10.54254/2755-2721/18/20230958.
Pełny tekst źródłaSun, Lichao, Hang Qin, Krzysztof Przystupa, Michal Majka i Orest Kochan. "Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network". Sensors 22, nr 20 (17.10.2022): 7900. http://dx.doi.org/10.3390/s22207900.
Pełny tekst źródłaHan, Mingchong, Aiguo Tan i 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, nr 1 (1.02.2022): 012047. http://dx.doi.org/10.1088/1742-6596/2203/1/012047.
Pełny tekst źródłaDeshpande, Vivek. "Implementation of Long Short-Term Memory (LSTM) Networks for Stock Price Prediction". Research Journal of Computer Systems and Engineering 4, nr 2 (31.12.2023): 60–72. http://dx.doi.org/10.52710/rjcse.74.
Pełny tekst źródłaWei, Xiaolu, Binbin Lei, Hongbing Ouyang i Qiufeng Wu. "Stock Index Prices Prediction via Temporal Pattern Attention and Long-Short-Term Memory". Advances in Multimedia 2020 (10.12.2020): 1–7. http://dx.doi.org/10.1155/2020/8831893.
Pełny tekst źródłaKratzert, Frederik, Daniel Klotz, Claire Brenner, Karsten Schulz i Mathew Herrnegger. "Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks". Hydrology and Earth System Sciences 22, nr 11 (22.11.2018): 6005–22. http://dx.doi.org/10.5194/hess-22-6005-2018.
Pełny tekst źródłaBalmuri, Kavitha Rani, Srinivas Konda, Wen-Cheng Lai, Parameshachari Bidare Divakarachari, Kavitha Malali Vishveshwarappa Gowda i Hemalatha Kivudujogappa Lingappa. "A Long Short-Term Memory Network-Based Radio Resource Management for 5G Network". Future Internet 14, nr 6 (14.06.2022): 184. http://dx.doi.org/10.3390/fi14060184.
Pełny tekst źródłaMin, Huasong, Ziming Chen, Bin Fang, Ziwei Xia, Yixu Song, Zongtao Wang, Quan Zhou, Fuchun Sun i Chunfang Liu. "Cross-Individual Gesture Recognition Based on Long Short-Term Memory Networks". Scientific Programming 2021 (6.07.2021): 1–11. http://dx.doi.org/10.1155/2021/6680417.
Pełny tekst źródłaWang, Jianyong, Lei Zhang, Yuanyuan Chen i Zhang Yi. "A New Delay Connection for Long Short-Term Memory Networks". International Journal of Neural Systems 28, nr 06 (24.06.2018): 1750061. http://dx.doi.org/10.1142/s0129065717500617.
Pełny tekst źródłaAlamri, Nawaf Mohammad H., Michael Packianather i Samuel Bigot. "Optimizing the Parameters of Long Short-Term Memory Networks Using the Bees Algorithm". Applied Sciences 13, nr 4 (16.02.2023): 2536. http://dx.doi.org/10.3390/app13042536.
Pełny tekst źródłaBALOGLU, ULAS BARAN, i ÖZAL YILDIRIM. "CONVOLUTIONAL LONG-SHORT TERM MEMORY NETWORKS MODEL FOR LONG DURATION EEG SIGNAL CLASSIFICATION". Journal of Mechanics in Medicine and Biology 19, nr 01 (luty 2019): 1940005. http://dx.doi.org/10.1142/s0219519419400050.
Pełny tekst źródłaSugiartawan, Putu, Agus Aan Jiwa Permana i Paholo Iman Prakoso. "Forecasting Kunjungan Wisatawan Dengan Long Short Term Memory (LSTM)". Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) 1, nr 1 (30.09.2018): 43–52. http://dx.doi.org/10.33173/jsikti.5.
Pełny tekst źródłaNoor, Fahima, Sanaulla Haq, Mohammed Rakib, Tarik Ahmed, Zeeshan Jamal, Zakaria Shams Siam, Rubyat Tasnuva Hasan, Mohammed Sarfaraz Gani Adnan, Ashraf Dewan i Rashedur M. Rahman. "Water Level Forecasting Using Spatiotemporal Attention-Based Long Short-Term Memory Network". Water 14, nr 4 (17.02.2022): 612. http://dx.doi.org/10.3390/w14040612.
Pełny tekst źródłaIzzadiana, Helma Syifa, Herlina Napitupulu i Firdaniza Firdaniza. "Peramalan Data Univariat Menggunakan Metode Long Short Term Memory". SisInfo : Jurnal Sistem Informasi dan Informatika 5, nr 2 (18.08.2023): 29–39. http://dx.doi.org/10.37278/sisinfo.v5i2.669.
Pełny tekst źródłaZhang, Jun, Xiyao Cao, Jiemin Xie i Pangao Kou. "An Improved Long Short-Term Memory Model for Dam Displacement Prediction". Mathematical Problems in Engineering 2019 (24.04.2019): 1–14. http://dx.doi.org/10.1155/2019/6792189.
Pełny tekst źródłaLei, Tengfei, Rita Yi Man Li, Nuttapong Jotikastira, Haiyan Fu i Cong Wang. "Prediction for the Inventory Management Chaotic Complexity System Based on the Deep Neural Network Algorithm". Complexity 2023 (12.05.2023): 1–11. http://dx.doi.org/10.1155/2023/9369888.
Pełny tekst źródłaPutera Khano, Muhammad Nazhif Abda, Dewi Retno Sari Saputro, Sutanto Sutanto i Antoni Wibowo. "SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS". BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, nr 4 (19.12.2023): 2235–42. http://dx.doi.org/10.30598/barekengvol17iss4pp2235-2242.
Pełny tekst źródłaWang, Lipeng. "An Improved Long Short-Term Memory Neural Network for Macroeconomic Forecast". Revue d'Intelligence Artificielle 34, nr 5 (20.11.2020): 577–84. http://dx.doi.org/10.18280/ria.340507.
Pełny tekst źródłaLiu, Feiyang, Panke Qin, Junru You i Yanyan Fu. "Sparrow Search Algorithm-Optimized Long Short-Term Memory Model for Stock Trend Prediction". Computational Intelligence and Neuroscience 2022 (12.08.2022): 1–11. http://dx.doi.org/10.1155/2022/3680419.
Pełny tekst źródłaLees, Thomas, Steven Reece, Frederik Kratzert, Daniel Klotz, Martin Gauch, Jens De Bruijn, Reetik Kumar Sahu, Peter Greve, Louise Slater i Simon J. Dadson. "Hydrological concept formation inside long short-term memory (LSTM) networks". Hydrology and Earth System Sciences 26, nr 12 (20.06.2022): 3079–101. http://dx.doi.org/10.5194/hess-26-3079-2022.
Pełny tekst źródłaSong, Fei, Yong Li, Wei Cheng i Limeng Dong. "Learning to Track Multiple Radar Targets with Long Short-Term Memory Networks". Wireless Communications and Mobile Computing 2023 (15.02.2023): 1–9. http://dx.doi.org/10.1155/2023/1033371.
Pełny tekst źródłaLiao, Chin-Wen, I.-Chi Wang, Kuo-Ping Lin i Yu-Ju Lin. "A Fuzzy Seasonal Long Short-Term Memory Network for Wind Power Forecasting". Mathematics 9, nr 11 (23.05.2021): 1178. http://dx.doi.org/10.3390/math9111178.
Pełny tekst źródłaYang, Tianyi, Quanming Zhao i 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, nr 1 (1.08.2023): 012007. http://dx.doi.org/10.1088/1742-6596/2558/1/012007.
Pełny tekst źródłaMukhlis, Mukhlis, Aziz Kustiyo i Aries Suharso. "Peramalan Produksi Pertanian Menggunakan Model Long Short-Term Memory". BINA INSANI ICT JOURNAL 8, nr 1 (24.06.2021): 22. http://dx.doi.org/10.51211/biict.v8i1.1492.
Pełny tekst źródłaZhang, Tianren. "COVID-19 Epidemic Trend Prediction using Long Short-term Memory Network". Highlights in Science, Engineering and Technology 39 (1.04.2023): 258–65. http://dx.doi.org/10.54097/hset.v39i.6537.
Pełny tekst źródłaNguyen, Sang Thi Thanh, i Bao Duy Tran. "Long Short-Term Memory Based Movie Recommendation". Science & Technology Development Journal - Engineering and Technology 3, SI1 (19.09.2020): SI1—SI9. http://dx.doi.org/10.32508/stdjet.v3isi1.540.
Pełny tekst źródłaLiu, Jinyuan, Shouxi Wang, Nan Wei, Yi Yang, Yihao Lv, Xu Wang i Fanhua Zeng. "An Enhancement Method Based on Long Short-Term Memory Neural Network for Short-Term Natural Gas Consumption Forecasting". Energies 16, nr 3 (26.01.2023): 1295. http://dx.doi.org/10.3390/en16031295.
Pełny tekst źródłaZhang, Jiaan, Chenyu Liu i Leijiao Ge. "Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN". Energies 15, nr 7 (4.04.2022): 2633. http://dx.doi.org/10.3390/en15072633.
Pełny tekst źródłaSon, Hojae, Anand Paul i Gwanggil Jeon. "Country Information Based on Long-Term Short-Term Memory (LSTM)". International Journal of Engineering & Technology 7, nr 4.44 (1.12.2018): 47. http://dx.doi.org/10.14419/ijet.v7i4.44.26861.
Pełny tekst źródłaSher, Madiha, Nasru Minallah, Tufail Ahmad i Waleed Khan. "Hyperparameters analysis of long short-term memory architecture for crop classification". International Journal of Electrical and Computer Engineering (IJECE) 13, nr 4 (1.08.2023): 4661. http://dx.doi.org/10.11591/ijece.v13i4.pp4661-4670.
Pełny tekst źródłaMuhuri, Pramita Sree, Prosenjit Chatterjee, Xiaohong Yuan, Kaushik Roy i Albert Esterline. "Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks". Information 11, nr 5 (1.05.2020): 243. http://dx.doi.org/10.3390/info11050243.
Pełny tekst źródłaXie, Anqi, Hao Yang, Jing Chen, Li Sheng i Qian Zhang. "A Short-Term Wind Speed Forecasting Model Based on a Multi-Variable Long Short-Term Memory Network". Atmosphere 12, nr 5 (19.05.2021): 651. http://dx.doi.org/10.3390/atmos12050651.
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