Статті в журналах з теми "LSTM ALGORITHM"
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Liang, Bushun, Siye Wang, Yeqin Huang, Yiling Liu, and Linpeng Ma. "F-LSTM: FPGA-Based Heterogeneous Computing Framework for Deploying LSTM-Based Algorithms." Electronics 12, no. 5 (February 26, 2023): 1139. http://dx.doi.org/10.3390/electronics12051139.
Повний текст джерелаHong, Juan, and Wende Tian. "Prediction in Catalytic Cracking Process Based on Swarm Intelligence Algorithm Optimization of LSTM." Processes 11, no. 5 (May 11, 2023): 1454. http://dx.doi.org/10.3390/pr11051454.
Повний текст джерелаKhataei Maragheh, Hamed, Farhad Soleimanian Gharehchopogh, Kambiz Majidzadeh, and 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, no. 3 (February 2, 2022): 488. http://dx.doi.org/10.3390/math10030488.
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 джерелаAbubaker, Shaikh Shoieb, and Syed Rouf Farid. "Stock Market Prediction Using LSTM." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 3178–84. http://dx.doi.org/10.22214/ijraset.2022.42039.
Повний текст джерелаFang, Wei, Jinguang Jiang, Shuangqiu Lu, Yilin Gong, Yifeng Tao, Yanan Tang, Peihui Yan, Haiyong Luo, and Jingnan Liu. "A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages." Remote Sensing 12, no. 2 (January 10, 2020): 256. http://dx.doi.org/10.3390/rs12020256.
Повний текст джерелаLi, Hailin, Zhizhou Zhao, and Xue Du. "Research and Application of Deformation Prediction Model for Deep Foundation Pit Based on LSTM." Wireless Communications and Mobile Computing 2022 (July 6, 2022): 1–12. http://dx.doi.org/10.1155/2022/9407999.
Повний текст джерелаQin, Wanting, Jun Tang, Cong Lu, and Songyang Lao. "Trajectory prediction based on long short-term memory network and Kalman filter using hurricanes as an example." Computational Geosciences 25, no. 3 (March 5, 2021): 1005–23. http://dx.doi.org/10.1007/s10596-021-10037-2.
Повний текст джерелаUlum, Dinar Syahid Nur, and 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, no. 2 (April 29, 2022): 121–33. http://dx.doi.org/10.53894/ijirss.v5i2.415.
Повний текст джерелаChen, Wantong, Hailong Wu, and Shiyu Ren. "CM-LSTM Based Spectrum Sensing." Sensors 22, no. 6 (March 16, 2022): 2286. http://dx.doi.org/10.3390/s22062286.
Повний текст джерелаYang, Fan, Kewen Xia, Shurui Fan, and Zhiwei Zhang. "Equalization Optimizer-Based LSTM Application in Reservoir Identification." Computational Intelligence and Neuroscience 2022 (September 9, 2022): 1–20. http://dx.doi.org/10.1155/2022/7372984.
Повний текст джерелаWójcikowski, Marek. "Real-Time PPG Signal Conditioning with Long Short-Term Memory (LSTM) Network for Wearable Devices." Sensors 22, no. 1 (December 27, 2021): 164. http://dx.doi.org/10.3390/s22010164.
Повний текст джерелаPark, Kang Yun, and Yong Sang Lee. "Deep Learning Algorithm Exploration for Automated Korean essay Scoring." Korean Society for Educational Evaluation 35, no. 3 (September 30, 2022): 465–88. http://dx.doi.org/10.31158/jeev.2022.35.3.465.
Повний текст джерелаZhen, Tao, Lei Yan, and Peng Yuan. "Walking Gait Phase Detection Based on Acceleration Signals Using LSTM-DNN Algorithm." Algorithms 12, no. 12 (November 26, 2019): 253. http://dx.doi.org/10.3390/a12120253.
Повний текст джерелаLi, Xueguang, and Menchita F. Dumlao. "SOC Prediction for Lithium Battery Via LSTM-Attention-R Algorithm." Frontiers in Computing and Intelligent Systems 4, no. 3 (July 20, 2023): 71–77. http://dx.doi.org/10.54097/fcis.v4i3.11146.
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 джерелаYang, Yifang. "Application of LSTM Neural Network Technology Embedded in English Intelligent Translation." Computational Intelligence and Neuroscience 2022 (September 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/1085577.
Повний текст джерелаKundu, Ripan Kumar, Akhlaqur Rahman, and Shuva Paul. "A Study on Sensor System Latency in VR Motion Sickness." Journal of Sensor and Actuator Networks 10, no. 3 (August 6, 2021): 53. http://dx.doi.org/10.3390/jsan10030053.
Повний текст джерелаWu, Yijun, and Yonghong Qin. "Machine translation of English speech: Comparison of multiple algorithms." Journal of Intelligent Systems 31, no. 1 (January 1, 2022): 159–67. http://dx.doi.org/10.1515/jisys-2022-0005.
Повний текст джерелаSong, Lijun, Peiyu Xu, Xing He, Yunlong Li, Jiajie Hou, and Haoyu Feng. "Improved LSTM Neural Network-Assisted Combined Vehicle-Mounted GNSS/SINS Navigation and Positioning Algorithm." Electronics 12, no. 17 (September 4, 2023): 3726. http://dx.doi.org/10.3390/electronics12173726.
Повний текст джерелаWu, Jizhou, Hongmin Zhang, and Xuanhao Gao. "Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model." International Journal of Antennas and Propagation 2021 (December 20, 2021): 1–9. http://dx.doi.org/10.1155/2021/4699373.
Повний текст джерелаLv, 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.
Повний текст джерелаÇETİNER, Halit. "Recurrent Neural Network Based Model Development for Energy Consumption Forecasting." Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11, no. 3 (September 30, 2022): 759–69. http://dx.doi.org/10.17798/bitlisfen.1077393.
Повний текст джерелаNguyen-Da, Thao, Yi-Min Li, Chi-Lu Peng, Ming-Yuan Cho, and Phuong Nguyen-Thanh. "Tourism Demand Prediction after COVID-19 with Deep Learning Hybrid CNN–LSTM—Case Study of Vietnam and Provinces." Sustainability 15, no. 9 (April 25, 2023): 7179. http://dx.doi.org/10.3390/su15097179.
Повний текст джерелаChen, Keqiao. "APSO-LSTM: An Improved LSTM Neural Network Model Based on APSO Algorithm." Journal of Physics: Conference Series 1651 (November 2020): 012151. http://dx.doi.org/10.1088/1742-6596/1651/1/012151.
Повний текст джерелаSudhakaran, P., Subbiah Swaminathan, D. Yuvaraj, and 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, no. 05 (April 7, 2020): 150. http://dx.doi.org/10.3991/ijim.v14i05.13361.
Повний текст джерелаFitzhan, Adriel Lazaro, and 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, no. 2 (February 4, 2023): 57–64. http://dx.doi.org/10.46338/ijetae0223_08.
Повний текст джерелаChen, Ping, JianYi Zhong, and YueChao Zhu. "Intelligent Question Answering System by Deep Convolutional Neural Network in Finance and Economics Teaching." Computational Intelligence and Neuroscience 2022 (January 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/5755327.
Повний текст джерелаLan, Pu, Kewen Xia, Yongke Pan, and Shurui Fan. "An Improved Equilibrium Optimizer Algorithm and Its Application in LSTM Neural Network." Symmetry 13, no. 9 (September 15, 2021): 1706. http://dx.doi.org/10.3390/sym13091706.
Повний текст джерелаLin, Xiaoyu, Hang Yu, Meng Wang, Chaoen Li, Zi Wang, and Yin Tang. "Electricity Consumption Forecast of High-Rise Office Buildings Based on the Long Short-Term Memory Method." Energies 14, no. 16 (August 6, 2021): 4785. http://dx.doi.org/10.3390/en14164785.
Повний текст джерелаHamayel, Mohammad J., and Amani Yousef Owda. "A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms." AI 2, no. 4 (October 13, 2021): 477–96. http://dx.doi.org/10.3390/ai2040030.
Повний текст джерелаSuneetha Rani R, Sri Vinithri Chowdary D, Uday Kiran C H, Deekshith K, and Alekhya V. "Bitcoin price prediction based on linear regression and lstm." South Asian Journal of Engineering and Technology 12, no. 3 (July 11, 2022): 87–95. http://dx.doi.org/10.26524/sajet.2022.12.44.
Повний текст джерелаYang, Yufan, Chunlei Wei, Fan Yang, Tianyi Lu, Langfeng Zhu, and Jun Wei. "A Machine Learning-Based Correction Method for High-Frequency Surface Wave Radar Current Measurements." Applied Sciences 12, no. 24 (December 17, 2022): 12980. http://dx.doi.org/10.3390/app122412980.
Повний текст джерелаKwon, Semin, Bo-Seung Kim, and 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, no. 20 (October 12, 2022): 10248. http://dx.doi.org/10.3390/app122010248.
Повний текст джерелаChen, 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, no. 2 (February 24, 2023): e0282159. http://dx.doi.org/10.1371/journal.pone.0282159.
Повний текст джерелаRen, Jinyan. "Pop Music Trend and Image Analysis Based on Big Data Technology." Computational Intelligence and Neuroscience 2021 (December 9, 2021): 1–12. http://dx.doi.org/10.1155/2021/4700630.
Повний текст джерелаWang, Shengwei, Ping Li, Hao Ji, Yulin Zhan, and 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, no. 1 (August 11, 2021): 1869–85. http://dx.doi.org/10.3233/jifs-210603.
Повний текст джерелаHou, Dali, and Mingjia Cao. "A hybrid deep learning model approach for performance index prediction of mechanical equipment." Measurement Science and Technology 33, no. 10 (July 13, 2022): 105108. http://dx.doi.org/10.1088/1361-6501/ac769d.
Повний текст джерелаXiao, Junyan. "Stock Prediction using LSTM model." Applied and Computational Engineering 8, no. 1 (August 1, 2023): 74–79. http://dx.doi.org/10.54254/2755-2721/8/20230084.
Повний текст джерелаShi, Yongsheng, Jiarui Ren, Mengzhuo Shi, Jin Li, and Kai Zhang. "Battery life prediction method based on DE-GWO-LSTM." Journal of Physics: Conference Series 2076, no. 1 (November 1, 2021): 012105. http://dx.doi.org/10.1088/1742-6596/2076/1/012105.
Повний текст джерелаHe, 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, no. 5 (February 22, 2023): 2135. http://dx.doi.org/10.3390/en16052135.
Повний текст джерелаLuo, Yulan. "Soybean Futures Price Prediction Based on CNN-LSTM Model of Bayesian Optimization Algorithm." Highlights in Business, Economics and Management 16 (August 2, 2023): 6–17. http://dx.doi.org/10.54097/hbem.v16i.10419.
Повний текст джерелаWang, Ju, Leifeng Zhang, Sanqiang Yang, Shaoning Lian, Peng Wang, Lei Yu, and Zhenyu Yang. "Optimized LSTM based on improved whale algorithm for surface subsidence deformation prediction." Electronic Research Archive 31, no. 6 (2023): 3435–52. http://dx.doi.org/10.3934/era.2023174.
Повний текст джерелаTseng, Po-He, Núria Armengol Urpi, Mikhail Lebedev, and Miguel Nicolelis. "Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network." Neural Computation 31, no. 6 (June 2019): 1085–113. http://dx.doi.org/10.1162/neco_a_01189.
Повний текст джерелаDiwan, Sinan, and Yanash Azwin Mohmad. "Credit Card Fraud Detection Using LSTM Algorithm." Wasit Journal of Computer and Mathematics Science 1, no. 3 (October 1, 2022): 39–53. http://dx.doi.org/10.31185/wjcm.60.
Повний текст джерелаNurhaida, Ida, Handrie Noprisson, Vina Ayumi, Hong Wei, Erwin Dwika Putra, Marissa Utami, and Hadiguna Setiawan. "Implementation of Deep Learning Predictor (LSTM) Algorithm for Human Mobility Prediction." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 18 (November 10, 2020): 132. http://dx.doi.org/10.3991/ijim.v14i18.16867.
Повний текст джерелаAlkahtani, Hasan, Theyazn H. H. Aldhyani, and Mohammed Al-Yaari. "Adaptive Anomaly Detection Framework Model Objects in Cyberspace." Applied Bionics and Biomechanics 2020 (December 9, 2020): 1–14. http://dx.doi.org/10.1155/2020/6660489.
Повний текст джерелаBai, Chenyao. "AGA-LSTM: An Optimized LSTM Neural Network Model Based on Adaptive Genetic Algorithm." Journal of Physics: Conference Series 1570 (June 2020): 012011. http://dx.doi.org/10.1088/1742-6596/1570/1/012011.
Повний текст джерелаXing, Jiarui, and Huilin Li. "Study about Football Action Recognition Method Based on Deep Learning and Improved Dynamic Time Warping Algorithm." Mobile Information Systems 2022 (April 4, 2022): 1–10. http://dx.doi.org/10.1155/2022/3861620.
Повний текст джерелаPan, Jeng-Shyang, Pei Hu, Tien-Szu Pan, and Shu-Chuan Chu. "Improved Equilibrium Optimizer for Short-Term Traffic Flow Prediction." Journal of Database Management 34, no. 1 (April 21, 2023): 1–20. http://dx.doi.org/10.4018/jdm.321758.
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