Статті в журналах з теми "Artificial Neural Networks and Recurrent Neutral Networks"
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Prathibha, Dr G., Y. Kavya, P. Vinay Jacob, and L. Poojita. "Speech Emotion Recognition Using Deep Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (July 4, 2024): 1–13. http://dx.doi.org/10.55041/ijsrem36262.
Повний текст джерелаAli, Ayesha, Ateeq Ur Rehman, Ahmad Almogren, Elsayed Tag Eldin, and Muhammad Kaleem. "Application of Deep Learning Gated Recurrent Unit in Hybrid Shunt Active Power Filter for Power Quality Enhancement." Energies 15, no. 20 (October 13, 2022): 7553. http://dx.doi.org/10.3390/en15207553.
Повний текст джерелаPranav Kumar Chaudhary, Aakash Kishore Chotrani, Raja Mohan, Mythili Boopathi, Piyush Ranjan, Madhavi Najana,. "Ai in Fraud Detection: Evaluating the Efficacy of Artificial Intelligence in Preventing Financial Misconduct." Journal of Electrical Systems 20, no. 3s (April 4, 2024): 1332–38. http://dx.doi.org/10.52783/jes.1508.
Повний текст джерелаNassif, Ali Bou, Ismail Shahin, Mohammed Lataifeh, Ashraf Elnagar, and Nawel Nemmour. "Empirical Comparison between Deep and Classical Classifiers for Speaker Verification in Emotional Talking Environments." Information 13, no. 10 (September 27, 2022): 456. http://dx.doi.org/10.3390/info13100456.
Повний текст джерелаLee, Hong Jae, and Tae Seog Kim. "Comparison and Analysis of SNN and RNN Results for Option Pricing and Deep Hedging Using Artificial Neural Networks (ANN)." Academic Society of Global Business Administration 20, no. 5 (October 30, 2023): 146–78. http://dx.doi.org/10.38115/asgba.2023.20.5.146.
Повний текст джерелаSutskever, Ilya, and Geoffrey Hinton. "Temporal-Kernel Recurrent Neural Networks." Neural Networks 23, no. 2 (March 2010): 239–43. http://dx.doi.org/10.1016/j.neunet.2009.10.009.
Повний текст джерелаWang, Rui. "Generalisation of Feed-Forward Neural Networks and Recurrent Neural Networks." Applied and Computational Engineering 40, no. 1 (February 21, 2024): 242–46. http://dx.doi.org/10.54254/2755-2721/40/20230659.
Повний текст джерелаPoudel, Sushan, and Dr R. Anuradha. "Speech Command Recognition using Artificial Neural Networks." JOIV : International Journal on Informatics Visualization 4, no. 2 (May 26, 2020): 73. http://dx.doi.org/10.30630/joiv.4.2.358.
Повний текст джерелаTurner, Andrew James, and Julian Francis Miller. "Recurrent Cartesian Genetic Programming of Artificial Neural Networks." Genetic Programming and Evolvable Machines 18, no. 2 (August 8, 2016): 185–212. http://dx.doi.org/10.1007/s10710-016-9276-6.
Повний текст джерелаZiemke, Tom. "Radar image segmentation using recurrent artificial neural networks." Pattern Recognition Letters 17, no. 4 (April 1996): 319–34. http://dx.doi.org/10.1016/0167-8655(95)00128-x.
Повний текст джерелаMASKARA, ARUN, and ANDREW NOETZEL. "Sequence Recognition with Recurrent Neural Networks." Connection Science 5, no. 2 (January 1993): 139–52. http://dx.doi.org/10.1080/09540099308915692.
Повний текст джерелаKawano, Makoto, and Kazuhiro Ueda. "Microblog Geolocation Estimation with Recurrent Neural Networks." Transactions of the Japanese Society for Artificial Intelligence 32, no. 1 (2017): WII—E_1–8. http://dx.doi.org/10.1527/tjsai.wii-e.
Повний текст джерелаAliev, R. A., B. G. Guirimov, Bijan Fazlollahi, and R. R. Aliev. "Evolutionary algorithm-based learning of fuzzy neural networks. Part 2: Recurrent fuzzy neural networks." Fuzzy Sets and Systems 160, no. 17 (September 2009): 2553–66. http://dx.doi.org/10.1016/j.fss.2008.12.018.
Повний текст джерелаImam, Nabil. "Wiring up recurrent neural networks." Nature Machine Intelligence 3, no. 9 (September 2021): 740–41. http://dx.doi.org/10.1038/s42256-021-00391-2.
Повний текст джерелаDalhoum, Abdel Latif Abu, and Mohammed Al-Rawi. "High-Order Neural Networks are Equivalent to Ordinary Neural Networks." Modern Applied Science 13, no. 2 (January 27, 2019): 228. http://dx.doi.org/10.5539/mas.v13n2p228.
Повний текст джерелаGoudreau, Mark W., and C. Lee Giles. "Using recurrent neural networks to learn the structure of interconnection networks." Neural Networks 8, no. 5 (January 1995): 793–804. http://dx.doi.org/10.1016/0893-6080(95)00025-u.
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 джерелаDobnikar, Andrej, and Branko Šter. "Structural Properties of Recurrent Neural Networks." Neural Processing Letters 29, no. 2 (February 12, 2009): 75–88. http://dx.doi.org/10.1007/s11063-009-9096-2.
Повний текст джерелаSemyonov, 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.
Повний текст джерелаDimopoulos, Nikitas J., John T. Dorocicz, Chris Jubien, and Stephen Neville. "Training Asymptotically Stable Recurrent Neural Networks." Intelligent Automation & Soft Computing 2, no. 4 (January 1996): 375–88. http://dx.doi.org/10.1080/10798587.1996.10750681.
Повний текст джерелаPhan, Manh Cong, and Martin T. Hagan. "Error Surface of Recurrent Neural Networks." IEEE Transactions on Neural Networks and Learning Systems 24, no. 11 (November 2013): 1709–21. http://dx.doi.org/10.1109/tnnls.2013.2258470.
Повний текст джерелаValle, Marcos Eduardo. "Complex-Valued Recurrent Correlation Neural Networks." IEEE Transactions on Neural Networks and Learning Systems 25, no. 9 (September 2014): 1600–1612. http://dx.doi.org/10.1109/tnnls.2014.2341013.
Повний текст джерелаGoundar, Sam, Suneet Prakash, Pranil Sadal, and Akashdeep Bhardwaj. "Health Insurance Claim Prediction Using Artificial Neural Networks." International Journal of System Dynamics Applications 9, no. 3 (July 2020): 40–57. http://dx.doi.org/10.4018/ijsda.2020070103.
Повний текст джерелаWANG, JUN. "ON THE ASYMPTOTIC PROPERTIES OF RECURRENT NEURAL NETWORKS FOR OPTIMIZATION." International Journal of Pattern Recognition and Artificial Intelligence 05, no. 04 (October 1991): 581–601. http://dx.doi.org/10.1142/s0218001491000338.
Повний текст джерелаMartins, T. D., J. M. Annichino-Bizzacchi, A. V. C. Romano, and R. Maciel Filho. "Artificial neural networks for prediction of recurrent venous thromboembolism." International Journal of Medical Informatics 141 (September 2020): 104221. http://dx.doi.org/10.1016/j.ijmedinf.2020.104221.
Повний текст джерелаSaleh, Shadi. "Artificial Intelligence & Machine Learning in Computer Vision Applications." Embedded Selforganising Systems 7, no. 1 (February 20, 2020): 2–3. http://dx.doi.org/10.14464/ess71432.
Повний текст джерелаde Vos, N. J. "Echo state networks as an alternative to traditional artificial neural networks in rainfall–runoff modelling." Hydrology and Earth System Sciences 17, no. 1 (January 22, 2013): 253–67. http://dx.doi.org/10.5194/hess-17-253-2013.
Повний текст джерелаLan, Nur, Michal Geyer, Emmanuel Chemla, and Roni Katzir. "Minimum Description Length Recurrent Neural Networks." Transactions of the Association for Computational Linguistics 10 (2022): 785–99. http://dx.doi.org/10.1162/tacl_a_00489.
Повний текст джерелаNasr, Mounir Ben, and Mohamed Chtourou. "Training recurrent neural networks using a hybrid algorithm." Neural Computing and Applications 21, no. 3 (December 31, 2010): 489–96. http://dx.doi.org/10.1007/s00521-010-0506-1.
Повний текст джерелаChen, Z. Y., C. P. Kwong, and Z. B. Xu. "Multiple-valued feedback and recurrent correlation neural networks." Neural Computing & Applications 3, no. 4 (December 1995): 242–50. http://dx.doi.org/10.1007/bf01414649.
Повний текст джерелаGoulas, Alexandros, Fabrizio Damicelli, and Claus C. Hilgetag. "Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks." Neural Networks 142 (October 2021): 608–18. http://dx.doi.org/10.1016/j.neunet.2021.07.011.
Повний текст джерелаFreitag, Steffen, Wolfgang Graf, and Michael Kaliske. "Recurrent neural networks for fuzzy data." Integrated Computer-Aided Engineering 18, no. 3 (June 17, 2011): 265–80. http://dx.doi.org/10.3233/ica-2011-0373.
Повний текст джерелаCarta, Antonio, Alessandro Sperduti, and Davide Bacciu. "Encoding-based memory for recurrent neural networks." Neurocomputing 456 (October 2021): 407–20. http://dx.doi.org/10.1016/j.neucom.2021.04.051.
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.
Повний текст джерелаCruse, Hoik, Jeffrey Dean, Thomas Kindermann, Josef Schmitz, and Michael Schumm. "Simulation of Complex Movements Using Artificial Neural Networks." Zeitschrift für Naturforschung C 53, no. 7-8 (August 1, 1998): 628–38. http://dx.doi.org/10.1515/znc-1998-7-816.
Повний текст джерелаGANCHEV, TODOR. "ENHANCED TRAINING FOR THE LOCALLY RECURRENT PROBABILISTIC NEURAL NETWORKS." International Journal on Artificial Intelligence Tools 18, no. 06 (December 2009): 853–81. http://dx.doi.org/10.1142/s0218213009000433.
Повний текст джерелаLeung, Chi-Sing, and Lai-Wan Chan. "Dual extended Kalman filtering in recurrent neural networks." Neural Networks 16, no. 2 (March 2003): 223–39. http://dx.doi.org/10.1016/s0893-6080(02)00230-7.
Повний текст джерелаParga, N., L. Serrano-Fernández, and J. Falcó-Roget. "Emergent computations in trained artificial neural networks and real brains." Journal of Instrumentation 18, no. 02 (February 1, 2023): C02060. http://dx.doi.org/10.1088/1748-0221/18/02/c02060.
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 джерелаFRANKLIN, JUDY A., and KRYSTAL K. LOCKE. "RECURRENT NEURAL NETWORKS FOR MUSICAL PITCH MEMORY AND CLASSIFICATION." International Journal on Artificial Intelligence Tools 14, no. 01n02 (February 2005): 329–42. http://dx.doi.org/10.1142/s0218213005002120.
Повний текст джерелаMa, Tingsong, Ping Kuang, and Wenhong Tian. "An improved recurrent neural networks for 3d object reconstruction." Applied Intelligence 50, no. 3 (October 23, 2019): 905–23. http://dx.doi.org/10.1007/s10489-019-01523-3.
Повний текст джерелаHuang, Chuangxia, Yigang He, and Ping Chen. "Dynamic Analysis of Stochastic Recurrent Neural Networks." Neural Processing Letters 27, no. 3 (April 11, 2008): 267–76. http://dx.doi.org/10.1007/s11063-008-9075-z.
Повний текст джерелаStepchenko, Arthur, and Jurij Chizhov. "NDVI Short-Term Forecasting Using Recurrent Neural Networks." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 16, 2015): 180. http://dx.doi.org/10.17770/etr2015vol3.167.
Повний текст джерелаManfredini, Ricardo Augusto. "Hybrid Artificial Neural Networks for Electricity Consumption Prediction." International Journal of Advanced Engineering Research and Science 9, no. 8 (2022): 292–99. http://dx.doi.org/10.22161/ijaers.98.32.
Повний текст джерелаSiriporananon, Somsak, and Boonlert Suechoey. "Power Losses Analysis in a Three-Phase Distribution Transformer Using Artificial Neural Networks." ECTI Transactions on Electrical Engineering, Electronics, and Communications 18, no. 2 (August 31, 2020): 130–36. http://dx.doi.org/10.37936/ecti-eec.2020182.223203.
Повний текст джерелаBacciu, Davide, and Francesco Crecchi. "Augmenting Recurrent Neural Networks Resilience by Dropout." IEEE Transactions on Neural Networks and Learning Systems 31, no. 1 (January 2020): 345–51. http://dx.doi.org/10.1109/tnnls.2019.2899744.
Повний текст джерелаLiu, Shiwei, Iftitahu Ni’mah, Vlado Menkovski, Decebal Constantin Mocanu, and Mykola Pechenizkiy. "Efficient and effective training of sparse recurrent neural networks." Neural Computing and Applications 33, no. 15 (January 26, 2021): 9625–36. http://dx.doi.org/10.1007/s00521-021-05727-y.
Повний текст джерелаZhai, Jun-Yong, Shu-Min Fei, and Xiao-Hui Mo. "Multiple models switching control based on recurrent neural networks." Neural Computing and Applications 17, no. 4 (August 24, 2007): 365–71. http://dx.doi.org/10.1007/s00521-007-0123-9.
Повний текст джерелаKhan, Yaser Daanial, Farooq Ahmed, and Sher Afzal Khan. "Situation recognition using image moments and recurrent neural networks." Neural Computing and Applications 24, no. 7-8 (March 24, 2013): 1519–29. http://dx.doi.org/10.1007/s00521-013-1372-4.
Повний текст джерелаPENG, CHUN-CHENG, and GEORGE D. MAGOULAS. "ADVANCED ADAPTIVE NONMONOTONE CONJUGATE GRADIENT TRAINING ALGORITHM FOR RECURRENT NEURAL NETWORKS." International Journal on Artificial Intelligence Tools 17, no. 05 (October 2008): 963–84. http://dx.doi.org/10.1142/s0218213008004242.
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