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