Статті в журналах з теми "Recurrent Neural Network architecture"
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Back, Andrew D., and Ah Chung Tsoi. "A Low-Sensitivity Recurrent Neural Network." Neural Computation 10, no. 1 (January 1, 1998): 165–88. http://dx.doi.org/10.1162/089976698300017935.
Повний текст джерелаПаршин, А. И., М. Н. Аралов, В. Ф. Барабанов, and Н. И. Гребенникова. "RANDOM MULTI-MODAL DEEP LEARNING IN THE PROBLEM OF IMAGE RECOGNITION." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 4 (October 20, 2021): 21–26. http://dx.doi.org/10.36622/vstu.2021.17.4.003.
Повний текст джерелаGallicchio, Claudio, and Alessio Micheli. "Fast and Deep Graph Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3898–905. http://dx.doi.org/10.1609/aaai.v34i04.5803.
Повний текст джерелаVASSILIADIS, STAMATIS, GERALD G. PECHANEK, and JOSÉ G. DELGADO-FRIAS. "SPIN: THE SEQUENTIAL PIPELINED NEUROEMULATOR." International Journal on Artificial Intelligence Tools 02, no. 01 (March 1993): 117–32. http://dx.doi.org/10.1142/s0218213093000084.
Повний текст джерелаUzdiaev, M. Yu, R. N. Iakovlev, D. M. Dudarenko, and A. D. Zhebrun. "Identification of a Person by Gait in a Video Stream." Proceedings of the Southwest State University 24, no. 4 (February 4, 2021): 57–75. http://dx.doi.org/10.21869/2223-1560-2020-24-4-57-75.
Повний текст джерелаKalinin, Maxim, Vasiliy Krundyshev, and Evgeny Zubkov. "Estimation of applicability of modern neural network methods for preventing cyberthreats to self-organizing network infrastructures of digital economy platforms,." SHS Web of Conferences 44 (2018): 00044. http://dx.doi.org/10.1051/shsconf/20184400044.
Повний текст джерелаCaniago, Afif Ilham, Wilis Kaswidjanti, and Juwairiah Juwairiah. "Recurrent Neural Network With Gate Recurrent Unit For Stock Price Prediction." Telematika 18, no. 3 (October 31, 2021): 345. http://dx.doi.org/10.31315/telematika.v18i3.6650.
Повний текст джерелаTELMOUDI, ACHRAF JABEUR, HATEM TLIJANI, LOTFI NABLI, MAARUF ALI, and RADHI M'HIRI. "A NEW RBF NEURAL NETWORK FOR PREDICTION IN INDUSTRIAL CONTROL." International Journal of Information Technology & Decision Making 11, no. 04 (July 2012): 749–75. http://dx.doi.org/10.1142/s0219622012500198.
Повний текст джерелаZiemke, Tom. "Radar Image Segmentation Using Self-Adapting Recurrent Networks." International Journal of Neural Systems 08, no. 01 (February 1997): 47–54. http://dx.doi.org/10.1142/s0129065797000070.
Повний текст джерелаK, Karthika, Tejashree K, Naveen Rajan M., and Namita R. "Towards Strong AI with Analog Neural Chips." International Journal of Innovative Research in Advanced Engineering 10, no. 06 (June 23, 2023): 394–99. http://dx.doi.org/10.26562/ijirae.2023.v1006.28.
Повний текст джерелаVinayakumar, R., K. P. Soman, and Prabaharan Poornachandran. "Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS)." International Journal of Information System Modeling and Design 8, no. 3 (July 2017): 43–63. http://dx.doi.org/10.4018/ijismd.2017070103.
Повний текст джерелаJeon, DaeHyeon, and Min-Suk Kim. "Deep-Learning-Based Sequence Causal Long-Term Recurrent Convolutional Network for Data Fusion Using Video Data." Electronics 12, no. 5 (February 24, 2023): 1115. http://dx.doi.org/10.3390/electronics12051115.
Повний текст джерелаWu, Yan, Aoming Liu, Zhiwu Huang, Siwei Zhang, and Luc Van Gool. "Neural Architecture Search as Sparse Supernet." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 10379–87. http://dx.doi.org/10.1609/aaai.v35i12.17243.
Повний текст джерелаMohammed, Ahmed Salahuddin, Amin Salih Mohammed, and Shahab Wahhab Kareem. "Deep Learning and Neural Network-Based Wind Speed Prediction Model." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30, no. 03 (June 2022): 403–25. http://dx.doi.org/10.1142/s021848852240013x.
Повний текст джерелаHan, Bing, Cheng Wang, and Kaushik Roy. "Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6838–46. http://dx.doi.org/10.1609/aaai.v36i6.20640.
Повний текст джерелаAzpiazu, Ion Madrazo, and Maria Soledad Pera. "Multiattentive Recurrent Neural Network Architecture for Multilingual Readability Assessment." Transactions of the Association for Computational Linguistics 7 (November 2019): 421–36. http://dx.doi.org/10.1162/tacl_a_00278.
Повний текст джерелаAlashban, Adal A., Mustafa A. Qamhan, Ali H. Meftah, and Yousef A. Alotaibi. "Spoken Language Identification System Using Convolutional Recurrent Neural Network." Applied Sciences 12, no. 18 (September 13, 2022): 9181. http://dx.doi.org/10.3390/app12189181.
Повний текст джерелаMaduranga, Kehelwala D. G., Kyle E. Helfrich, and Qiang Ye. "Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4528–35. http://dx.doi.org/10.1609/aaai.v33i01.33014528.
Повний текст джерелаKabildjanov, A. S., Ch Z. Okhunboboeva, and S. Yo Ismailov. "Intelligent forecasting of growth and development of fruit trees by deep learning recurrent neural networks." IOP Conference Series: Earth and Environmental Science 1206, no. 1 (June 1, 2023): 012015. http://dx.doi.org/10.1088/1755-1315/1206/1/012015.
Повний текст джерелаPal, Subarno, Soumadip Ghosh, and Amitava Nag. "Sentiment Analysis in the Light of LSTM Recurrent Neural Networks." International Journal of Synthetic Emotions 9, no. 1 (January 2018): 33–39. http://dx.doi.org/10.4018/ijse.2018010103.
Повний текст джерелаMinin, Alexey, Alois Knoll, and Hans-Georg Zimmermann. "Complex Valued Recurrent Neural Network: From Architecture to Training." Journal of Signal and Information Processing 03, no. 02 (2012): 192–97. http://dx.doi.org/10.4236/jsip.2012.32026.
Повний текст джерелаCamero, Andrés, Jamal Toutouh, and Enrique Alba. "Random error sampling-based recurrent neural network architecture optimization." Engineering Applications of Artificial Intelligence 96 (November 2020): 103946. http://dx.doi.org/10.1016/j.engappai.2020.103946.
Повний текст джерелаLyu, Shengfei, and Jiaqi Liu. "Convolutional Recurrent Neural Networks for Text Classification." Journal of Database Management 32, no. 4 (October 2021): 65–82. http://dx.doi.org/10.4018/jdm.2021100105.
Повний текст джерелаNguyen, Viet-Hung, Minh-Tuan Nguyen, Jeongsik Choi, and Yong-Hwa Kim. "NLOS Identification in WLANs Using Deep LSTM with CNN Features." Sensors 18, no. 11 (November 20, 2018): 4057. http://dx.doi.org/10.3390/s18114057.
Повний текст джерелаFREAN, MARCUS, MATT LILLEY, and PHILLIP BOYLE. "IMPLEMENTING GAUSSIAN PROCESS INFERENCE WITH NEURAL NETWORKS." International Journal of Neural Systems 16, no. 05 (October 2006): 321–27. http://dx.doi.org/10.1142/s012906570600072x.
Повний текст джерелаAbudu, Prince M. "CommNets: Communicating Neural Network Architectures for Resource Constrained Systems." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9909–10. http://dx.doi.org/10.1609/aaai.v33i01.33019909.
Повний текст джерелаWang, Xiaohui. "Design of English Translation Model Based on Recurrent Neural Network." Mathematical Problems in Engineering 2022 (August 25, 2022): 1–7. http://dx.doi.org/10.1155/2022/5177069.
Повний текст джерелаFRASCONI, PAOLO, MARCO GORI, and GIOVANNI SODA. "DAPHNE: DATA PARALLELISM NEURAL NETWORK SIMULATOR." International Journal of Modern Physics C 04, no. 01 (February 1993): 17–28. http://dx.doi.org/10.1142/s0129183193000045.
Повний текст джерелаBhargava, Rupal, Shivangi Arora, and Yashvardhan Sharma. "Neural Network-Based Architecture for Sentiment Analysis in Indian Languages." Journal of Intelligent Systems 28, no. 3 (July 26, 2019): 361–75. http://dx.doi.org/10.1515/jisys-2017-0398.
Повний текст джерелаSibruk, Leonid, and Ihor Zakutynskyi. "Recurrent Neural Networks for Time Series Forecasting. Choosing the best Architecture for Passenger Traffic Data." Electronics and Control Systems 2, no. 72 (September 23, 2022): 38–44. http://dx.doi.org/10.18372/1990-5548.72.16941.
Повний текст джерелаWang, Jie, Jun Wang, Wen Fang, and Hongli Niu. "Financial Time Series Prediction Using Elman Recurrent Random Neural Networks." Computational Intelligence and Neuroscience 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/4742515.
Повний текст джерелаBack, A. D., and A. C. Tsoi. "FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling." Neural Computation 3, no. 3 (September 1991): 375–85. http://dx.doi.org/10.1162/neco.1991.3.3.375.
Повний текст джерелаKilic, Ergin, and Melik Dolen. "Prediction of slip in cable-drum systems using structured neural networks." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 3 (April 26, 2013): 441–56. http://dx.doi.org/10.1177/0954406213487471.
Повний текст джерелаLalapura, Varsha S., J. Amudha, and Hariramn Selvamuruga Satheesh. "Recurrent Neural Networks for Edge Intelligence." ACM Computing Surveys 54, no. 4 (May 2021): 1–38. http://dx.doi.org/10.1145/3448974.
Повний текст джерелаAndreoli, Louis, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, and Daniel Brunner. "Boolean learning under noise-perturbations in hardware neural networks." Nanophotonics 9, no. 13 (June 24, 2020): 4139–47. http://dx.doi.org/10.1515/nanoph-2020-0171.
Повний текст джерелаObrubov, M., and S. Kirillova. "USING LSTM NETWORK FOR SOLVING THE MULTIDIMENTIONAL TIME SERIES FORECASTING PROBLEM." National Association of Scientists 2, no. 68 (July 1, 2021): 43–48. http://dx.doi.org/10.31618/nas.2413-5291.2021.2.68.450.
Повний текст джерелаDuarte Soares, Lucas, Altamira de Souza Queiroz, Gloria P. López, Edgar M. Carreño-Franco, Jesús M. López-Lezama, and Nicolás Muñoz-Galeano. "BiGRU-CNN Neural Network Applied to Electric Energy Theft Detection." Electronics 11, no. 5 (February 24, 2022): 693. http://dx.doi.org/10.3390/electronics11050693.
Повний текст джерелаAhmad, Zeeshan, Adnan Shahid Khan, Kashif Nisar, Iram Haider, Rosilah Hassan, Muhammad Reazul Haque, Seleviawati Tarmizi, and Joel J. P. C. Rodrigues. "Anomaly Detection Using Deep Neural Network for IoT Architecture." Applied Sciences 11, no. 15 (July 30, 2021): 7050. http://dx.doi.org/10.3390/app11157050.
Повний текст джерелаRafi, Quazi Ghulam, Mohammed Noman, Sadia Zahin Prodhan, Sabrina Alam, and Dip Nandi. "Comparative Analysis of Three Improved Deep Learning Architectures for Music Genre Classification." International Journal of Information Technology and Computer Science 13, no. 2 (April 8, 2021): 1–14. http://dx.doi.org/10.5815/ijitcs.2021.02.01.
Повний текст джерелаEigel, Martin, Marvin Haase, and Johannes Neumann. "Topology Optimisation under Uncertainties with Neural Networks." Algorithms 15, no. 7 (July 12, 2022): 241. http://dx.doi.org/10.3390/a15070241.
Повний текст джерелаHuang, Fangwan, Shijie Zhuang, Zhiyong Yu, Yuzhong Chen, and Kun Guo. "Adaptive Modularized Recurrent Neural Networks for Electric Load Forecasting." Journal of Database Management 34, no. 1 (May 18, 2023): 1–18. http://dx.doi.org/10.4018/jdm.323436.
Повний текст джерелаSeong-Whan Lee and Hee-Heon Song. "A new recurrent neural-network architecture for visual pattern recognition." IEEE Transactions on Neural Networks 8, no. 2 (March 1997): 331–40. http://dx.doi.org/10.1109/72.557671.
Повний текст джерелаMittal, Nikita, and Akash Saxena. "Layer Recurrent Neural Network based Power System Load Forecasting." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 3 (December 1, 2015): 423. http://dx.doi.org/10.11591/tijee.v16i3.1632.
Повний текст джерелаVoevoda, Aleksander, and Victor Shipagin. "Structural transformations of a neural network controller with a recurrent network type." Transaction of Scientific Papers of the Novosibirsk State Technical University, no. 3 (November 18, 2020): 7–16. http://dx.doi.org/10.17212/2307-6879-2020-3-7-16.
Повний текст джерелаPaliwal, Shekhar, and Shivang Sharma. "Stock Prediction using Neural Networks and Evolution Algorithm." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 661–71. http://dx.doi.org/10.22214/ijraset.2022.41331.
Повний текст джерелаPark, Dong-Chul. "Multiresolution-based bilinear recurrent neural network." Knowledge and Information Systems 19, no. 2 (September 4, 2008): 235–48. http://dx.doi.org/10.1007/s10115-008-0155-1.
Повний текст джерелаDarmawahyuni, Annisa, Siti Nurmaini, Sukemi, Wahyu Caesarendra, Vicko Bhayyu, M. Naufal Rachmatullah, and Firdaus. "Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier." Algorithms 12, no. 6 (June 7, 2019): 118. http://dx.doi.org/10.3390/a12060118.
Повний текст джерелаAkdeniz, Esra, Erol Egrioglu, Eren Bas, and Ufuk Yolcu. "An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting." Journal of Artificial Intelligence and Soft Computing Research 8, no. 2 (April 1, 2018): 121–32. http://dx.doi.org/10.1515/jaiscr-2018-0009.
Повний текст джерелаZhu, Zhenshu, Yuming Bo, and Changhui Jiang. "A MEMS Gyroscope Noise Suppressing Method Using Neural Architecture Search Neural Network." Mathematical Problems in Engineering 2019 (November 21, 2019): 1–9. http://dx.doi.org/10.1155/2019/5491243.
Повний текст джерелаGraves, Daniel, and Witold Pedrycz. "Fuzzy prediction architecture using recurrent neural networks." Neurocomputing 72, no. 7-9 (March 2009): 1668–78. http://dx.doi.org/10.1016/j.neucom.2008.07.009.
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