Journal articles on the topic 'Recalling-based recurrent neural network'
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Goel, Raj Kumar, Ganesh Kumar Dixit, Saurabh Shrivastava, Manu Pratap Singh, and Shweta Vishnoi. "Implementing RNN with Non-Randomized GA for the Storage of Static Image Patterns." International Journal on Electrical Engineering and Informatics 12, no. 4 (2020): 966–78. http://dx.doi.org/10.15676/ijeei.2020.12.4.16.
Full textRai, Rahul R., and M. Mathivanan. "Recalling-Enhanced Recurrent Neural Network optimized with Chimp Optimization Algorithm based speech enhancement for hearing aids." Intelligent Decision Technologies 18, no. 1 (2024): 123–34. http://dx.doi.org/10.3233/idt-230211.
Full textDangovski, Rumen, Li Jing, Preslav Nakov, Mićo Tatalović, and Marin Soljačić. "Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications." Transactions of the Association for Computational Linguistics 7 (November 2019): 121–38. http://dx.doi.org/10.1162/tacl_a_00258.
Full textIrshad, Reyazur Rashid, Hamad Ali Abosaq, Mohammed Al Yami, et al. "Effective Stress Detection and Classification System Using African Buffalo Optimization and Recalling-Enhanced Recurrent Neural Network for Nano-Electronic Typed Data." Journal of Nanoelectronics and Optoelectronics 19, no. 7 (2024): 773–81. http://dx.doi.org/10.1166/jno.2024.3623.
Full textZhang, Cheng, Luying Li, Yanmei Liu, Xuejiao Luo, Shangguan Song, and Dingchun Xia. "Research on recurrent neural network model based on weight activity evaluation." ITM Web of Conferences 47 (2022): 02046. http://dx.doi.org/10.1051/itmconf/20224702046.
Full textGao, Tao, Xiaoling Gong, Kai Zhang, et al. "A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis." Information Sciences 519 (May 2020): 273–88. http://dx.doi.org/10.1016/j.ins.2020.01.045.
Full textBOBROVNIKOVA, K., and D. DENYSIUK. "METHOD FOR MALWARE DETECTION BASED ON THE NETWORK TRAFFIC ANALYSIS AND SOFTWARE BEHAVIOR IN COMPUTER SYSTEMS." Herald of Khmelnytskyi National University. Technical sciences 287, no. 4 (2020): 7–11. https://doi.org/10.31891/2307-5732-2020-287-4-7-11.
Full textAsadullaev, R. G., and M. A. Sitnikova. "INTELLIGENT MODEL FOR CLASSIFYING HEMODYNAMIC PATTERNS OF BRAIN ACTIVATION TO IDENTIFY NEUROCOGNITIVE MECHANISMS OF SPATIAL-NUMERICAL ASSOCIATIONS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 235 (January 2024): 38–45. http://dx.doi.org/10.14489/vkit.2024.01.pp.038-045.
Full textKambar, Ashwini, V. M. Chougala, and Shettar Rajashekar. "Recurrent neural network based image compression." Invertis Journal of Science & Technology 13, no. 3 (2020): 129. http://dx.doi.org/10.5958/2454-762x.2020.00013.x.
Full textPark, Dong-Chul. "Multiresolution-based bilinear recurrent neural network." Knowledge and Information Systems 19, no. 2 (2008): 235–48. http://dx.doi.org/10.1007/s10115-008-0155-1.
Full textXiao, Yao, Yashu Zhang, Xiangguang Dai, and Dongfang Yan. "Clustering Based on Continuous Hopfield Network." Mathematics 10, no. 6 (2022): 944. http://dx.doi.org/10.3390/math10060944.
Full textWang, 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.
Full textXing, Yan, Jieqing Tan, Peilin Hong, Yeyuan He, and Min Hu. "Mesh Denoising Based on Recurrent Neural Networks." Symmetry 14, no. 6 (2022): 1233. http://dx.doi.org/10.3390/sym14061233.
Full textMohammed, 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 (2022): 403–25. http://dx.doi.org/10.1142/s021848852240013x.
Full textBartsev, S. I., P. M. Baturina, and G. M. Markova. "Neural Network-Based Decoding Input Stimulus Data Based on Recurrent Neural Network Neural Activity Pattern." Doklady Biological Sciences 502, no. 1 (2022): 1–5. http://dx.doi.org/10.1134/s001249662201001x.
Full textBartsev, S. I., and G. M. Markova. "Decoding of stimuli time series by neural activity patterns of recurrent neural network." Journal of Physics: Conference Series 2388, no. 1 (2022): 012052. http://dx.doi.org/10.1088/1742-6596/2388/1/012052.
Full textLevin, Maxim, Anastasia Sevostyanova, Stanislav Nagornov, Irina Kovalenko, and Ekaterina Levina. "METHOD OF CONSTRUCTING A NEURAL NETWORK BASED ON BIOMATERIALS." SCIENCE IN THE CENTRAL RUSSIA, no. 6 (December 27, 2024): 105–13. https://doi.org/10.35887/2305-2538-2024-6-105-113.
Full textHindarto, Djarot. "Comparison of RNN Architectures and Non-RNN Architectures in Sentiment Analysis." sinkron 8, no. 4 (2023): 2537–46. http://dx.doi.org/10.33395/sinkron.v8i4.13048.
Full textHu, Wenjin, Jiawei Xiong, Ning Wang, Feng Liu, Yao Kong, and Chaozhong Yang. "Integrated Model Text Classification Based on Multineural Networks." Electronics 13, no. 2 (2024): 453. http://dx.doi.org/10.3390/electronics13020453.
Full textD., Geraldine Bessie Amali, and M. Dinakaran. "A Review of Heuristic Global Optimization Based Artificial Neural Network Training Approahes." IAES International Journal of Artificial Intelligence (IJ-AI) 6, no. 1 (2017): 26–32. https://doi.org/10.5281/zenodo.4108225.
Full textDeageon, Kim. "A New Method of Text Classification Based on Recurrent Neural Network." International Journal of Applied Engineering & Technology 5, no. 1 (2023): 13–23. https://doi.org/10.5281/zenodo.7601982.
Full textAl Seyab, R. K., and Yi Cao. "Differential recurrent neural network based predictive control." Computers & Chemical Engineering 32, no. 7 (2008): 1533–45. http://dx.doi.org/10.1016/j.compchemeng.2007.07.007.
Full textChen, Dongming, Mingshuo Nie, Qianqian Gan, and Dongqi Wang. "Evolving network representation learning based on recurrent neural network." International Journal of Sensor Networks 46, no. 2 (2024): 114–22. http://dx.doi.org/10.1504/ijsnet.2024.141767.
Full textLiu, Qingshan, Jinde Cao, and Guanrong Chen. "A Novel Recurrent Neural Network with Finite-Time Convergence for Linear Programming." Neural Computation 22, no. 11 (2010): 2962–78. http://dx.doi.org/10.1162/neco_a_00029.
Full textPaul, M. Robin Raj, and Dr K. Santhi Sree. "Ensemble Based Detection of Phishing URLs Using Hybrid, Deep Learning and Machine Learning Models." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 6402–15. https://doi.org/10.22214/ijraset.2025.71708.
Full textShapalin, Vitaliy Gennadiyevich, and Denis Vladimirovich Nikolayenko. "Comparison of the structure, efficiency, and speed of operation of feedforward, convolutional, and recurrent neural networks." Research Result. Information technologies 9, no. 4 (2024): 21–35. https://doi.org/10.18413/2518-1092-2024-9-4-0-3.
Full textZhang, Zao, and Yuan Dong. "Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time-Series Data." Complexity 2020 (March 20, 2020): 1–8. http://dx.doi.org/10.1155/2020/3536572.
Full textAndriyanov, Nikita A., David A. Petrosov, and Andrey V. Polyakov. "SELECTING AN ARTIFICIAL NEURAL NETWORK ARCHITECTURE FOR ASSESSING THE STATE OF A GENETIC ALGORITHM POPULATION IN THE PROBLEM OF STRUCTURAL-PARAMETRIC SYNTHESIS OF SIMULATION MODELS OF BUSINESS PROCESSES." SOFT MEASUREMENTS AND COMPUTING 12, no. 73 (2023): 70–81. http://dx.doi.org/10.36871/2618-9976.2023.12.007.
Full textP, Suma, and Senthil Kumar R. "Automatic Classification of Normal and Infected Blood Cells for Leukemia Through Color Based Segmentation Technique Over Innovative CNN Algorithm and Comparing the Error Rate with RNN." ECS Transactions 107, no. 1 (2022): 14123–34. http://dx.doi.org/10.1149/10701.14123ecst.
Full textXu, Jing, and Xiu Li Wang. "A Structural Identification Method Based on Recurrent Neural Network and Auto-Regressive and Moving Average Model." Applied Mechanics and Materials 256-259 (December 2012): 2261–65. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2261.
Full textFeng, Kai, Xitian Pi, Hongying Liu, and Kai Sun. "Myocardial Infarction Classification Based on Convolutional Neural Network and Recurrent Neural Network." Applied Sciences 9, no. 9 (2019): 1879. http://dx.doi.org/10.3390/app9091879.
Full textKihas, Dejan, Zeljko Djurovic, and Branko Kovacevic. "Adaptive filtering based on recurrent neural networks." Journal of Automatic Control 13, no. 1 (2003): 13–24. http://dx.doi.org/10.2298/jac0301013k.
Full textPascual, Santiago, Joan Serrà, and Antonio Bonafonte. "Exploring Efficient Neural Architectures for Linguistic–Acoustic Mapping in Text-To-Speech." Applied Sciences 9, no. 16 (2019): 3391. http://dx.doi.org/10.3390/app9163391.
Full textZhao, Shijie, Yan Cui, Linwei Huang, et al. "Supervised Brain Network Learning Based on Deep Recurrent Neural Networks." IEEE Access 8 (2020): 69967–78. http://dx.doi.org/10.1109/access.2020.2984948.
Full textLu, Ruochen, and Muchao Lu. "Stock Trend Prediction Algorithm Based on Deep Recurrent Neural Network." Wireless Communications and Mobile Computing 2021 (September 14, 2021): 1–10. http://dx.doi.org/10.1155/2021/5694975.
Full textSemyonov, E. D., M. Ya Braginsky, D. V. Tarakanov, and I. L. Nazarova. "NEURAL NETWORK FORECASTING OF INPUT PARAMETERS IN OIL DEVELOPMENT." PROCEEDINGS IN CYBERNETICS 22, no. 4 (2023): 42–51. http://dx.doi.org/10.35266/1999-7604-2023-4-6.
Full textCheng, Pengzhou, Kai Xu, Simin Li, and Mu Han. "TCAN-IDS: Intrusion Detection System for Internet of Vehicle Using Temporal Convolutional Attention Network." Symmetry 14, no. 2 (2022): 310. http://dx.doi.org/10.3390/sym14020310.
Full textP., Vijay Babu, and Senthil Kumar R. "Performance Evaluation of Brain Tumor Identification and Examination Using MRI Images with Innovative Convolution Neural Networks and Comparing the Accuracy with RNN Algorithm." ECS Transactions 107, no. 1 (2022): 12405–14. http://dx.doi.org/10.1149/10701.12405ecst.
Full textKhan, Muhammad Ashfaq. "HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System." Processes 9, no. 5 (2021): 834. http://dx.doi.org/10.3390/pr9050834.
Full textDong, Yunlong, Weiqi Li, Dongxue Li, Chao Liu, and Wei Xue. "Intelligent Tracking Method for Aerial Maneuvering Target Based on Unscented Kalman Filter." Remote Sensing 16, no. 17 (2024): 3301. http://dx.doi.org/10.3390/rs16173301.
Full textLin, Tsung-Chih, Yi-Ming Chang, and Tun-Yuan Lee. "System Identification Based on Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural Network." International Journal of Fuzzy System Applications 1, no. 3 (2011): 66–85. http://dx.doi.org/10.4018/ijfsa.2011070105.
Full textLi, Wang, Zhang, Xin, and Liu. "Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach." Energies 12, no. 13 (2019): 2538. http://dx.doi.org/10.3390/en12132538.
Full textZhang, Jianpeng, and Xueli Wang. "ICN intrusion detection method based on GA-CNN." PLOS One 20, no. 6 (2025): e0325367. https://doi.org/10.1371/journal.pone.0325367.
Full textBandyopadhyay, Samir Kuma. "Detection of Fraud Transactions Using Recurrent Neural Network during COVID-19." Journal of Advanced Research in Medical Science & Technology 07, no. 03 (2020): 16–21. http://dx.doi.org/10.24321/2394.6539.202012.
Full textKrupa, T. V. "New approach to computer-aided learning based on digital library user behavior." Scientific and Technical Libraries, no. 4 (April 26, 2022): 126–36. http://dx.doi.org/10.33186/1027-3689-2022-4-126-136.
Full textKrupa, T. V. "New approach to computer-aided learning based on digital library user behavior." Scientific and Technical Libraries, no. 4 (April 26, 2022): 126–36. http://dx.doi.org/10.33186/1027-3689-2022-4-126-136.
Full textБудыльский, Дмитрий, Dmitriy Budylskiy, Александр Подвесовский, and Aleksandr Podvesovskiy. "Application of deep learning models for aspect based sentiment analysis." Bulletin of Bryansk state technical university 2015, no. 3 (2015): 117–26. http://dx.doi.org/10.12737/22917.
Full textMittal, Nikita, and Akash Saxena. "Layer Recurrent Neural Network based Power System Load Forecasting." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 3 (2015): 423. http://dx.doi.org/10.11591/tijee.v16i3.1632.
Full textAkintunde, Michael E., Andreea Kevorchian, Alessio Lomuscio, and Edoardo Pirovano. "Verification of RNN-Based Neural Agent-Environment Systems." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6006–13. http://dx.doi.org/10.1609/aaai.v33i01.33016006.
Full textCheng, Yepeng, Zuren Liu, and Yasuhiko Morimoto. "Attention-Based SeriesNet: An Attention-Based Hybrid Neural Network Model for Conditional Time Series Forecasting." Information 11, no. 6 (2020): 305. http://dx.doi.org/10.3390/info11060305.
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