Artículos de revistas sobre el tema "LSTM ALGORITHM"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "LSTM ALGORITHM".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Liang, Bushun, Siye Wang, Yeqin Huang, Yiling Liu y Linpeng Ma. "F-LSTM: FPGA-Based Heterogeneous Computing Framework for Deploying LSTM-Based Algorithms". Electronics 12, n.º 5 (26 de febrero de 2023): 1139. http://dx.doi.org/10.3390/electronics12051139.
Texto completoHong, Juan y Wende Tian. "Prediction in Catalytic Cracking Process Based on Swarm Intelligence Algorithm Optimization of LSTM". Processes 11, n.º 5 (11 de mayo de 2023): 1454. http://dx.doi.org/10.3390/pr11051454.
Texto completoKhataei Maragheh, Hamed, Farhad Soleimanian Gharehchopogh, Kambiz Majidzadeh y Amin Babazadeh Sangar. "A New Hybrid Based on Long Short-Term Memory Network with Spotted Hyena Optimization Algorithm for Multi-Label Text Classification". Mathematics 10, n.º 3 (2 de febrero de 2022): 488. http://dx.doi.org/10.3390/math10030488.
Texto completoAlamri, Nawaf Mohammad H., Michael Packianather y Samuel Bigot. "Optimizing the Parameters of Long Short-Term Memory Networks Using the Bees Algorithm". Applied Sciences 13, n.º 4 (16 de febrero de 2023): 2536. http://dx.doi.org/10.3390/app13042536.
Texto completoAbubaker, Shaikh Shoieb y Syed Rouf Farid. "Stock Market Prediction Using LSTM". International Journal for Research in Applied Science and Engineering Technology 10, n.º 4 (30 de abril de 2022): 3178–84. http://dx.doi.org/10.22214/ijraset.2022.42039.
Texto completoFang, Wei, Jinguang Jiang, Shuangqiu Lu, Yilin Gong, Yifeng Tao, Yanan Tang, Peihui Yan, Haiyong Luo y Jingnan Liu. "A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages". Remote Sensing 12, n.º 2 (10 de enero de 2020): 256. http://dx.doi.org/10.3390/rs12020256.
Texto completoLi, Hailin, Zhizhou Zhao y Xue Du. "Research and Application of Deformation Prediction Model for Deep Foundation Pit Based on LSTM". Wireless Communications and Mobile Computing 2022 (6 de julio de 2022): 1–12. http://dx.doi.org/10.1155/2022/9407999.
Texto completoQin, Wanting, Jun Tang, Cong Lu y Songyang Lao. "Trajectory prediction based on long short-term memory network and Kalman filter using hurricanes as an example". Computational Geosciences 25, n.º 3 (5 de marzo de 2021): 1005–23. http://dx.doi.org/10.1007/s10596-021-10037-2.
Texto completoUlum, Dinar Syahid Nur y Abba Suganda Girsang. "Hyperparameter Optimization of Long-Short Term Memory using Symbiotic Organism Search for Stock Prediction". International Journal of Innovative Research and Scientific Studies 5, n.º 2 (29 de abril de 2022): 121–33. http://dx.doi.org/10.53894/ijirss.v5i2.415.
Texto completoChen, Wantong, Hailong Wu y Shiyu Ren. "CM-LSTM Based Spectrum Sensing". Sensors 22, n.º 6 (16 de marzo de 2022): 2286. http://dx.doi.org/10.3390/s22062286.
Texto completoYang, Fan, Kewen Xia, Shurui Fan y Zhiwei Zhang. "Equalization Optimizer-Based LSTM Application in Reservoir Identification". Computational Intelligence and Neuroscience 2022 (9 de septiembre de 2022): 1–20. http://dx.doi.org/10.1155/2022/7372984.
Texto completoWójcikowski, Marek. "Real-Time PPG Signal Conditioning with Long Short-Term Memory (LSTM) Network for Wearable Devices". Sensors 22, n.º 1 (27 de diciembre de 2021): 164. http://dx.doi.org/10.3390/s22010164.
Texto completoPark, Kang Yun y Yong Sang Lee. "Deep Learning Algorithm Exploration for Automated Korean essay Scoring". Korean Society for Educational Evaluation 35, n.º 3 (30 de septiembre de 2022): 465–88. http://dx.doi.org/10.31158/jeev.2022.35.3.465.
Texto completoZhen, Tao, Lei Yan y Peng Yuan. "Walking Gait Phase Detection Based on Acceleration Signals Using LSTM-DNN Algorithm". Algorithms 12, n.º 12 (26 de noviembre de 2019): 253. http://dx.doi.org/10.3390/a12120253.
Texto completoLi, Xueguang y Menchita F. Dumlao. "SOC Prediction for Lithium Battery Via LSTM-Attention-R Algorithm". Frontiers in Computing and Intelligent Systems 4, n.º 3 (20 de julio de 2023): 71–77. http://dx.doi.org/10.54097/fcis.v4i3.11146.
Texto completoAwad, Asmaa Ahmed, Ahmed Fouad Ali y 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 completoYang, Yifang. "Application of LSTM Neural Network Technology Embedded in English Intelligent Translation". Computational Intelligence and Neuroscience 2022 (27 de septiembre de 2022): 1–9. http://dx.doi.org/10.1155/2022/1085577.
Texto completoKundu, Ripan Kumar, Akhlaqur Rahman y Shuva Paul. "A Study on Sensor System Latency in VR Motion Sickness". Journal of Sensor and Actuator Networks 10, n.º 3 (6 de agosto de 2021): 53. http://dx.doi.org/10.3390/jsan10030053.
Texto completoWu, Yijun y Yonghong Qin. "Machine translation of English speech: Comparison of multiple algorithms". Journal of Intelligent Systems 31, n.º 1 (1 de enero de 2022): 159–67. http://dx.doi.org/10.1515/jisys-2022-0005.
Texto completoSong, Lijun, Peiyu Xu, Xing He, Yunlong Li, Jiajie Hou y Haoyu Feng. "Improved LSTM Neural Network-Assisted Combined Vehicle-Mounted GNSS/SINS Navigation and Positioning Algorithm". Electronics 12, n.º 17 (4 de septiembre de 2023): 3726. http://dx.doi.org/10.3390/electronics12173726.
Texto completoWu, Jizhou, Hongmin Zhang y Xuanhao Gao. "Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model". International Journal of Antennas and Propagation 2021 (20 de diciembre de 2021): 1–9. http://dx.doi.org/10.1155/2021/4699373.
Texto completoLv, Liujia, Weijian Kong, Jie Qi y 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 completoÇETİNER, Halit. "Recurrent Neural Network Based Model Development for Energy Consumption Forecasting". Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11, n.º 3 (30 de septiembre de 2022): 759–69. http://dx.doi.org/10.17798/bitlisfen.1077393.
Texto completoNguyen-Da, Thao, Yi-Min Li, Chi-Lu Peng, Ming-Yuan Cho y Phuong Nguyen-Thanh. "Tourism Demand Prediction after COVID-19 with Deep Learning Hybrid CNN–LSTM—Case Study of Vietnam and Provinces". Sustainability 15, n.º 9 (25 de abril de 2023): 7179. http://dx.doi.org/10.3390/su15097179.
Texto completoChen, Keqiao. "APSO-LSTM: An Improved LSTM Neural Network Model Based on APSO Algorithm". Journal of Physics: Conference Series 1651 (noviembre de 2020): 012151. http://dx.doi.org/10.1088/1742-6596/1651/1/012151.
Texto completoSudhakaran, P., Subbiah Swaminathan, D. Yuvaraj y S. Shanmuga Priya. "Load Predicting Model of Mobile Cloud Computing Based on Glowworm Swarm Optimization LSTM Network". International Journal of Interactive Mobile Technologies (iJIM) 14, n.º 05 (7 de abril de 2020): 150. http://dx.doi.org/10.3991/ijim.v14i05.13361.
Texto completoFitzhan, Adriel Lazaro y Antoni Wibowo. "Long Short-Term Memory Network Hyperparameter Optimization using Hybrid Algorithm GA-PSO on LQ45 Stock Prediction". International Journal of Emerging Technology and Advanced Engineering 13, n.º 2 (4 de febrero de 2023): 57–64. http://dx.doi.org/10.46338/ijetae0223_08.
Texto completoChen, Ping, JianYi Zhong y YueChao Zhu. "Intelligent Question Answering System by Deep Convolutional Neural Network in Finance and Economics Teaching". Computational Intelligence and Neuroscience 2022 (21 de enero de 2022): 1–10. http://dx.doi.org/10.1155/2022/5755327.
Texto completoLan, Pu, Kewen Xia, Yongke Pan y Shurui Fan. "An Improved Equilibrium Optimizer Algorithm and Its Application in LSTM Neural Network". Symmetry 13, n.º 9 (15 de septiembre de 2021): 1706. http://dx.doi.org/10.3390/sym13091706.
Texto completoLin, Xiaoyu, Hang Yu, Meng Wang, Chaoen Li, Zi Wang y Yin Tang. "Electricity Consumption Forecast of High-Rise Office Buildings Based on the Long Short-Term Memory Method". Energies 14, n.º 16 (6 de agosto de 2021): 4785. http://dx.doi.org/10.3390/en14164785.
Texto completoHamayel, Mohammad J. y Amani Yousef Owda. "A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms". AI 2, n.º 4 (13 de octubre de 2021): 477–96. http://dx.doi.org/10.3390/ai2040030.
Texto completoSuneetha Rani R, Sri Vinithri Chowdary D, Uday Kiran C H, Deekshith K y Alekhya V. "Bitcoin price prediction based on linear regression and lstm". South Asian Journal of Engineering and Technology 12, n.º 3 (11 de julio de 2022): 87–95. http://dx.doi.org/10.26524/sajet.2022.12.44.
Texto completoYang, Yufan, Chunlei Wei, Fan Yang, Tianyi Lu, Langfeng Zhu y Jun Wei. "A Machine Learning-Based Correction Method for High-Frequency Surface Wave Radar Current Measurements". Applied Sciences 12, n.º 24 (17 de diciembre de 2022): 12980. http://dx.doi.org/10.3390/app122412980.
Texto completoKwon, Semin, Bo-Seung Kim y Junhong Park. "Active Noise Reduction with Filtered Least-Mean-Square Algorithm Improved by Long Short-Term Memory Models for Radiation Noise of Diesel Engine". Applied Sciences 12, n.º 20 (12 de octubre de 2022): 10248. http://dx.doi.org/10.3390/app122010248.
Texto completoChen, Ningyan. "Visual recognition and prediction analysis of China’s real estate index and stock trend based on CNN-LSTM algorithm optimized by neural networks". PLOS ONE 18, n.º 2 (24 de febrero de 2023): e0282159. http://dx.doi.org/10.1371/journal.pone.0282159.
Texto completoRen, Jinyan. "Pop Music Trend and Image Analysis Based on Big Data Technology". Computational Intelligence and Neuroscience 2021 (9 de diciembre de 2021): 1–12. http://dx.doi.org/10.1155/2021/4700630.
Texto completoWang, Shengwei, Ping Li, Hao Ji, Yulin Zhan y Honghong Li. "Prediction of air particulate matter in Beijing, China, based on the improved particle swarm optimization algorithm and long short-term memory neural network". Journal of Intelligent & Fuzzy Systems 41, n.º 1 (11 de agosto de 2021): 1869–85. http://dx.doi.org/10.3233/jifs-210603.
Texto completoHou, Dali y Mingjia Cao. "A hybrid deep learning model approach for performance index prediction of mechanical equipment". Measurement Science and Technology 33, n.º 10 (13 de julio de 2022): 105108. http://dx.doi.org/10.1088/1361-6501/ac769d.
Texto completoXiao, Junyan. "Stock Prediction using LSTM model". Applied and Computational Engineering 8, n.º 1 (1 de agosto de 2023): 74–79. http://dx.doi.org/10.54254/2755-2721/8/20230084.
Texto completoShi, Yongsheng, Jiarui Ren, Mengzhuo Shi, Jin Li y Kai Zhang. "Battery life prediction method based on DE-GWO-LSTM". Journal of Physics: Conference Series 2076, n.º 1 (1 de noviembre de 2021): 012105. http://dx.doi.org/10.1088/1742-6596/2076/1/012105.
Texto completoHe, Yawen, Weirong Li, Zhenzhen Dong, Tianyang Zhang, Qianqian Shi, Linjun Wang, Lei Wu et al. "Lithologic Identification of Complex Reservoir Based on PSO-LSTM-FCN Algorithm". Energies 16, n.º 5 (22 de febrero de 2023): 2135. http://dx.doi.org/10.3390/en16052135.
Texto completoLuo, Yulan. "Soybean Futures Price Prediction Based on CNN-LSTM Model of Bayesian Optimization Algorithm". Highlights in Business, Economics and Management 16 (2 de agosto de 2023): 6–17. http://dx.doi.org/10.54097/hbem.v16i.10419.
Texto completoWang, Ju, Leifeng Zhang, Sanqiang Yang, Shaoning Lian, Peng Wang, Lei Yu y Zhenyu Yang. "Optimized LSTM based on improved whale algorithm for surface subsidence deformation prediction". Electronic Research Archive 31, n.º 6 (2023): 3435–52. http://dx.doi.org/10.3934/era.2023174.
Texto completoTseng, Po-He, Núria Armengol Urpi, Mikhail Lebedev y Miguel Nicolelis. "Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network". Neural Computation 31, n.º 6 (junio de 2019): 1085–113. http://dx.doi.org/10.1162/neco_a_01189.
Texto completoDiwan, Sinan y Yanash Azwin Mohmad. "Credit Card Fraud Detection Using LSTM Algorithm". Wasit Journal of Computer and Mathematics Science 1, n.º 3 (1 de octubre de 2022): 39–53. http://dx.doi.org/10.31185/wjcm.60.
Texto completoNurhaida, Ida, Handrie Noprisson, Vina Ayumi, Hong Wei, Erwin Dwika Putra, Marissa Utami y Hadiguna Setiawan. "Implementation of Deep Learning Predictor (LSTM) Algorithm for Human Mobility Prediction". International Journal of Interactive Mobile Technologies (iJIM) 14, n.º 18 (10 de noviembre de 2020): 132. http://dx.doi.org/10.3991/ijim.v14i18.16867.
Texto completoAlkahtani, Hasan, Theyazn H. H. Aldhyani y Mohammed Al-Yaari. "Adaptive Anomaly Detection Framework Model Objects in Cyberspace". Applied Bionics and Biomechanics 2020 (9 de diciembre de 2020): 1–14. http://dx.doi.org/10.1155/2020/6660489.
Texto completoBai, Chenyao. "AGA-LSTM: An Optimized LSTM Neural Network Model Based on Adaptive Genetic Algorithm". Journal of Physics: Conference Series 1570 (junio de 2020): 012011. http://dx.doi.org/10.1088/1742-6596/1570/1/012011.
Texto completoXing, Jiarui y Huilin Li. "Study about Football Action Recognition Method Based on Deep Learning and Improved Dynamic Time Warping Algorithm". Mobile Information Systems 2022 (4 de abril de 2022): 1–10. http://dx.doi.org/10.1155/2022/3861620.
Texto completoPan, Jeng-Shyang, Pei Hu, Tien-Szu Pan y Shu-Chuan Chu. "Improved Equilibrium Optimizer for Short-Term Traffic Flow Prediction". Journal of Database Management 34, n.º 1 (21 de abril de 2023): 1–20. http://dx.doi.org/10.4018/jdm.321758.
Texto completo