Статті в журналах з теми "Long Short-term Memory (LSTM) Networks"
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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.
Повний текст джерелаHochreiter, 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.
Повний текст джерелаXu, 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.
Повний текст джерелаSong, 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.
Повний текст джерелаShankar, 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.
Повний текст джерелаNguyen, 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.
Повний текст джерелаTra, 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.
Повний текст джерелаChen 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.
Повний текст джерелаWang, 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.
Повний текст джерелаLees, 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.
Повний текст джерелаSalman, Umar, Shafiqur Rehman, Basit Alawode, and Luai Alhems. "Short term prediction of wind speed based on long-short term memory networks." FME Transactions 49, no. 3 (2021): 643–52. http://dx.doi.org/10.5937/fme2103643s.
Повний текст джерелаMin, 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.
Повний текст джерелаKratzert, 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.
Повний текст джерелаSun, 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.
Повний текст джерелаAlamri, 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.
Повний текст джерелаRegan, Kevin, Abolfazl Saghafi, and Zhijun Li. "Splice Junction Identification using Long Short-Term Memory Neural Networks." Current Genomics 22, no. 5 (December 6, 2021): 384–90. http://dx.doi.org/10.2174/1389202922666211011143008.
Повний текст джерелаWei, 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.
Повний текст джерелаHan, 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.
Повний текст джерелаBALOGLU, 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.
Повний текст джерелаZhang, 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.
Повний текст джерелаSong, 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.
Повний текст джерелаSen, Sanchari, and Anand Raghunathan. "Approximate Computing for Long Short Term Memory (LSTM) Neural Networks." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37, no. 11 (November 2018): 2266–76. http://dx.doi.org/10.1109/tcad.2018.2858362.
Повний текст джерелаWei, Chih-Chiang. "Development of Stacked Long Short-Term Memory Neural Networks with Numerical Solutions for Wind Velocity Predictions." Advances in Meteorology 2020 (July 23, 2020): 1–18. http://dx.doi.org/10.1155/2020/5462040.
Повний текст джерелаZhou, 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.
Повний текст джерелаVlachas, Pantelis R., Wonmin Byeon, Zhong Y. Wan, Themistoklis P. Sapsis, and Petros Koumoutsakos. "Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2213 (May 2018): 20170844. http://dx.doi.org/10.1098/rspa.2017.0844.
Повний текст джерелаSantra, Arpita Samanta, and Jun-Lin Lin. "Integrating Long Short-Term Memory and Genetic Algorithm for Short-Term Load Forecasting." Energies 12, no. 11 (May 28, 2019): 2040. http://dx.doi.org/10.3390/en12112040.
Повний текст джерелаXie, Yuhong, Yuzuru Ueda, and Masakazu Sugiyama. "A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptron." Energies 14, no. 18 (September 16, 2021): 5873. http://dx.doi.org/10.3390/en14185873.
Повний текст джерелаHong, Binjie, Zhijie Yan, Yingxi Chen, and Xiaobo-Jin. "Long Memory Gated Recurrent Unit for Time Series Classification." Journal of Physics: Conference Series 2278, no. 1 (May 1, 2022): 012017. http://dx.doi.org/10.1088/1742-6596/2278/1/012017.
Повний текст джерелаSher, 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.
Повний текст джерелаBukhari, Syed Basit Ali, Khawaja Khalid Mehmood, Abdul Wadood, and Herie Park. "Intelligent Islanding Detection of Microgrids Using Long Short-Term Memory Networks." Energies 14, no. 18 (September 13, 2021): 5762. http://dx.doi.org/10.3390/en14185762.
Повний текст джерелаKADARI, REKIA, YU ZHANG, WEINAN ZHANG, and TING LIU. "CCG supertagging with bidirectional long short-term memory networks." Natural Language Engineering 24, no. 1 (September 4, 2017): 77–90. http://dx.doi.org/10.1017/s1351324917000250.
Повний текст джерелаS, Gnanasaravanan, Tharani B, and Mona Sahu. "Long Short-Term Memory Recurrent Neural Networks for Plant disease Identification." International Journal of Computer Communication and Informatics 3, no. 2 (October 30, 2021): 51–62. http://dx.doi.org/10.34256/ijcci2125.
Повний текст джерелаHu, Caihong, Qiang Wu, Hui Li, Shengqi Jian, Nan Li, and Zhengzheng Lou. "Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation." Water 10, no. 11 (October 30, 2018): 1543. http://dx.doi.org/10.3390/w10111543.
Повний текст джерелаLiu, 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.
Повний текст джерелаArifin, Samsul, AndyanKalmer Wijaya, Rinda Nariswari, I. Gusti Agung Anom Yudistira, Suwarno Suwarno, Faisal Faisal, and Diah Wihardini. "Long Short-Term Memory (LSTM): Trends and Future Research Potential." International Journal of Emerging Technology and Advanced Engineering 13, no. 5 (May 13, 2023): 24–34. http://dx.doi.org/10.46338/ijetae0523_04.
Повний текст джерелаKumar, 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.
Повний текст джерелаMuneer, 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.
Повний текст джерелаWang, Ying, Bo Feng, Qing-Song Hua, and Li Sun. "Short-Term Solar Power Forecasting: A Combined Long Short-Term Memory and Gaussian Process Regression Method." Sustainability 13, no. 7 (March 25, 2021): 3665. http://dx.doi.org/10.3390/su13073665.
Повний текст джерелаHopp, Daniel. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)." Journal of Official Statistics 38, no. 3 (September 1, 2022): 847–73. http://dx.doi.org/10.2478/jos-2022-0037.
Повний текст джерелаAyzel, Georgy, Liubov Kurochkina, Dmitriy Abramov, and Sergei Zhuravlev. "Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks." Hydrology 8, no. 1 (January 8, 2021): 6. http://dx.doi.org/10.3390/hydrology8010006.
Повний текст джерелаAyzel, Georgy, Liubov Kurochkina, Dmitriy Abramov, and Sergei Zhuravlev. "Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks." Hydrology 8, no. 1 (January 8, 2021): 6. http://dx.doi.org/10.3390/hydrology8010006.
Повний текст джерелаRußwurm, M., and M. Körner. "MULTI-TEMPORAL LAND COVER CLASSIFICATION WITH LONG SHORT-TERM MEMORY NEURAL NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 551–58. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-551-2017.
Повний текст джерелаAwad, 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.
Повний текст джерелаBalmuri, 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.
Повний текст джерелаMuthukumaran V., Vinothkumar V., Rose Bindu Joseph, Meram Munirathanam, and Balajee Jeyakumar. "Improving Network Security Based on Trust-Aware Routing Protocols Using Long Short-Term Memory-Queuing Segment-Routing Algorithms." International Journal of Information Technology Project Management 12, no. 4 (October 2021): 47–60. http://dx.doi.org/10.4018/ijitpm.2021100105.
Повний текст джерелаHan, Xu, and Shicai Gong. "LST-GCN: Long Short-Term Memory Embedded Graph Convolution Network for Traffic Flow Forecasting." Electronics 11, no. 14 (July 17, 2022): 2230. http://dx.doi.org/10.3390/electronics11142230.
Повний текст джерелаMohamed, Takwa, Sabah Sayed, Akram Salah, and Essam H. Houssein. "Long Short-Term Memory Neural Networks for RNA Viruses Mutations Prediction." Mathematical Problems in Engineering 2021 (June 25, 2021): 1–9. http://dx.doi.org/10.1155/2021/9980347.
Повний текст джерелаYu, Yong, Xiaosheng Si, Changhua Hu, and Jianxun Zhang. "A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures." Neural Computation 31, no. 7 (July 2019): 1235–70. http://dx.doi.org/10.1162/neco_a_01199.
Повний текст джерелаBhandarkar, 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.
Повний текст джерелаMukhlis, 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.
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