Artigos de revistas sobre o tema "Neural network adaptation"
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Hylton, Todd. "Thermodynamic Neural Network". Entropy 22, n.º 3 (25 de fevereiro de 2020): 256. http://dx.doi.org/10.3390/e22030256.
Texto completo da fonteVreeswijk, C. van, e D. Hansel. "Patterns of Synchrony in Neural Networks with Spike Adaptation". Neural Computation 13, n.º 5 (1 de maio de 2001): 959–92. http://dx.doi.org/10.1162/08997660151134280.
Texto completo da fonteXie, Xurong, Xunying Liu, Tan Lee e Lan Wang. "Bayesian Learning for Deep Neural Network Adaptation". IEEE/ACM Transactions on Audio, Speech, and Language Processing 29 (2021): 2096–110. http://dx.doi.org/10.1109/taslp.2021.3084072.
Texto completo da fontePatre, P. M., S. Bhasin, Z. D. Wilcox e W. E. Dixon. "Composite Adaptation for Neural Network-Based Controllers". IEEE Transactions on Automatic Control 55, n.º 4 (abril de 2010): 944–50. http://dx.doi.org/10.1109/tac.2010.2041682.
Texto completo da fonteYu, D. L., e T. K. Chang. "Adaptation of diagonal recurrent neural network model". Neural Computing and Applications 14, n.º 3 (23 de março de 2005): 189–97. http://dx.doi.org/10.1007/s00521-004-0453-9.
Texto completo da fonteJoty, Shafiq, Nadir Durrani, Hassan Sajjad e Ahmed Abdelali. "Domain adaptation using neural network joint model". Computer Speech & Language 45 (setembro de 2017): 161–79. http://dx.doi.org/10.1016/j.csl.2016.12.006.
Texto completo da fonteDenker, John S. "Neural network models of learning and adaptation". Physica D: Nonlinear Phenomena 22, n.º 1-3 (outubro de 1986): 216–32. http://dx.doi.org/10.1016/0167-2789(86)90242-3.
Texto completo da fonteYAEGER, LARRY S. "IDENTIFYING NEURAL NETWORK TOPOLOGIES THAT FOSTER DYNAMICAL COMPLEXITY". Advances in Complex Systems 16, n.º 02n03 (maio de 2013): 1350032. http://dx.doi.org/10.1142/s021952591350032x.
Texto completo da fonteZiemke, Tom. "Radar Image Segmentation Using Self-Adapting Recurrent Networks". International Journal of Neural Systems 08, n.º 01 (fevereiro de 1997): 47–54. http://dx.doi.org/10.1142/s0129065797000070.
Texto completo da fonteLi, Xiaofeng, Suying Xiang, Pengfei Zhu e Min Wu. "Establishing a Dynamic Self-Adaptation Learning Algorithm of the BP Neural Network and Its Applications". International Journal of Bifurcation and Chaos 25, n.º 14 (30 de dezembro de 2015): 1540030. http://dx.doi.org/10.1142/s0218127415400301.
Texto completo da fonteZhao, S., S. Saha e X. X. Zhu. "GRAPH NEURAL NETWORK BASED OPEN-SET DOMAIN ADAPTATION". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (31 de maio de 2022): 1407–13. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-1407-2022.
Texto completo da fonteGOLTSEV, ALEXANDER, e DONALD C. WUNSCH. "GENERALIZATION OF FEATURES IN THE ASSEMBLY NEURAL NETWORKS". International Journal of Neural Systems 14, n.º 01 (fevereiro de 2004): 39–56. http://dx.doi.org/10.1142/s0129065704001838.
Texto completo da fonteHu, Brian, Marina E. Garrett, Peter A. Groblewski, Douglas R. Ollerenshaw, Jiaqi Shang, Kate Roll, Sahar Manavi, Christof Koch, Shawn R. Olsen e Stefan Mihalas. "Adaptation supports short-term memory in a visual change detection task". PLOS Computational Biology 17, n.º 9 (17 de setembro de 2021): e1009246. http://dx.doi.org/10.1371/journal.pcbi.1009246.
Texto completo da fonteMaksutova, K., N. Saparkhojayev e Dusmat Zhamangarin. "DEVELOPMENT OF AN ONTOLOGICAL MODEL OF DEEP LEARNING NEURAL NETWORKS". Bulletin D. Serikbayev of EKTU, n.º 1 (março de 2024): 190–201. http://dx.doi.org/10.51885/1561-4212_2024_1_190.
Texto completo da fonteHsu, Chun-Fei, Ping-Zong Lin, Tsu-Tian Lee e Chi-Hsu Wang. "Adaptive asymmetric fuzzy neural network controller design via network structuring adaptation". Fuzzy Sets and Systems 159, n.º 20 (outubro de 2008): 2627–49. http://dx.doi.org/10.1016/j.fss.2008.01.034.
Texto completo da fonteKhaikine, Maxim, e Klaus Holthausen. "A General Probability Estimation Approach for Neural Computation". Neural Computation 12, n.º 2 (1 de fevereiro de 2000): 433–50. http://dx.doi.org/10.1162/089976600300015862.
Texto completo da fonteWang, Miao, Xu Yang, Yunchong Qian, Yunlin Lei, Jian Cai, Ziyi Huan, Xialv Lin e Hao Dong. "Adaptive Neural Network Structure Optimization Algorithm Based on Dynamic Nodes". Current Issues in Molecular Biology 44, n.º 2 (7 de fevereiro de 2022): 817–32. http://dx.doi.org/10.3390/cimb44020056.
Texto completo da fontede Sousa, Celso, e Elder Moreira Hermerly. "ADAPTIVE CONTROL OF MOBILE ROBOTS USING A NEURAL NETWORK". International Journal of Neural Systems 11, n.º 03 (junho de 2001): 211–18. http://dx.doi.org/10.1142/s0129065701000643.
Texto completo da fonteMarković, Dimitrije, e Claudius Gros. "Intrinsic Adaptation in Autonomous Recurrent Neural Networks". Neural Computation 24, n.º 2 (fevereiro de 2012): 523–40. http://dx.doi.org/10.1162/neco_a_00232.
Texto completo da fonteVinken, K., X. Boix e G. Kreiman. "Incorporating intrinsic suppression in deep neural networks captures dynamics of adaptation in neurophysiology and perception". Science Advances 6, n.º 42 (outubro de 2020): eabd4205. http://dx.doi.org/10.1126/sciadv.abd4205.
Texto completo da fonteZhu, Liqiang, Ying-Cheng Lai, Frank C. Hoppensteadt e Jiping He. "Probing Changes in Neural Interaction During Adaptation". Neural Computation 15, n.º 10 (1 de outubro de 2003): 2359–77. http://dx.doi.org/10.1162/089976603322362392.
Texto completo da fonteWu, Jian Hui, Guo Li Wang, Jing Wang e Yu Su. "BP Neural Network and Multiple Linear Regression in Acute Hospitalization Costs in the Comparative Study". Applied Mechanics and Materials 50-51 (fevereiro de 2011): 959–63. http://dx.doi.org/10.4028/www.scientific.net/amm.50-51.959.
Texto completo da fonteSharma, B. Lungsi, e Richard B. Wells. "A demonstration of using the model reference principle to develop the function-oriented adaptive pulse-coded neural network". SIMULATION 96, n.º 2 (10 de julho de 2019): 207–19. http://dx.doi.org/10.1177/0037549719860587.
Texto completo da fonteSiddikov, I. H., P. I. Kalandarov e D. B. ,. Yadgarova. "Engineering Calculation And Algorithm Of Adaptation Of Parameters Of A Neuro-Fuzzy Controller". American Journal of Applied sciences 03, n.º 09 (30 de setembro de 2021): 41–49. http://dx.doi.org/10.37547/tajas/volume03issue09-06.
Texto completo da fonteSave, Ashwini, e Narendra Shekokar. "Cross Domain Adaptation using A Novel Convolution Neural Network". International Journal of Engineering Research and Technology 13, n.º 9 (30 de setembro de 2020): 2230. http://dx.doi.org/10.37624/ijert/13.9.2020.2230-2238.
Texto completo da fontePan, Yongping, Qin Gao e Haoyong Yu. "Fast and low-frequency adaptation in neural network control". IET Control Theory & Applications 8, n.º 17 (20 de novembro de 2014): 2062–69. http://dx.doi.org/10.1049/iet-cta.2014.0449.
Texto completo da fonteHe, Y., e U. Cilingirogu. "A charge-based on-chip adaptation Kohonen neural network". IEEE Transactions on Neural Networks 4, n.º 3 (maio de 1993): 462–69. http://dx.doi.org/10.1109/72.217189.
Texto completo da fonteFurui, Sadaoki, Daisuke Itoh e Zhipeng Zhang. "Neural-network-based HMM adaptation for noisy speech recognition". Acoustical Science and Technology 24, n.º 2 (2003): 69–75. http://dx.doi.org/10.1250/ast.24.69.
Texto completo da fonteShi, Yangyang, Martha Larson e Catholijn M. Jonker. "Recurrent neural network language model adaptation with curriculum learning". Computer Speech & Language 33, n.º 1 (setembro de 2015): 136–54. http://dx.doi.org/10.1016/j.csl.2014.11.004.
Texto completo da fonteLi, Xudong, Jianhua Zheng, Mingtao Li, Wenzhen Ma e Yang Hu. "Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis". Sensors 21, n.º 2 (10 de janeiro de 2021): 450. http://dx.doi.org/10.3390/s21020450.
Texto completo da fonteLi, Xudong, Jianhua Zheng, Mingtao Li, Wenzhen Ma e Yang Hu. "Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis". Sensors 21, n.º 2 (10 de janeiro de 2021): 450. http://dx.doi.org/10.3390/s21020450.
Texto completo da fonteRibar, Srdjan, Vojislav V. Mitic e Goran Lazovic. "Neural Networks Application on Human Skin Biophysical Impedance Characterizations". Biophysical Reviews and Letters 16, n.º 01 (6 de fevereiro de 2021): 9–19. http://dx.doi.org/10.1142/s1793048021500028.
Texto completo da fonteYang, Guochun, Kai Wang, Weizhi Nan, Qi Li, Ya Zheng, Haiyan Wu e Xun Liu. "Distinct Brain Mechanisms for Conflict Adaptation within and across Conflict Types". Journal of Cognitive Neuroscience 34, n.º 3 (1 de fevereiro de 2022): 445–60. http://dx.doi.org/10.1162/jocn_a_01806.
Texto completo da fonteTran, Vu, François Septier, Daisuke Murakami e Tomoko Matsui. "Spatial–Temporal Temperature Forecasting Using Deep-Neural-Network-Based Domain Adaptation". Atmosphere 15, n.º 1 (10 de janeiro de 2024): 90. http://dx.doi.org/10.3390/atmos15010090.
Texto completo da fonteAlavash, Mohsen, Sarah Tune e Jonas Obleser. "Dynamic large-scale connectivity of intrinsic cortical oscillations supports adaptive listening in challenging conditions". PLOS Biology 19, n.º 10 (11 de outubro de 2021): e3001410. http://dx.doi.org/10.1371/journal.pbio.3001410.
Texto completo da fonteNerrand, O., P. Roussel-Ragot, L. Personnaz, G. Dreyfus e S. Marcos. "Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms". Neural Computation 5, n.º 2 (março de 1993): 165–99. http://dx.doi.org/10.1162/neco.1993.5.2.165.
Texto completo da fonteLin, Baihan. "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers". Entropy 24, n.º 1 (28 de dezembro de 2021): 59. http://dx.doi.org/10.3390/e24010059.
Texto completo da fonteBereta, Michał. "Kohonen Network-Based Adaptation of Non Sequential Data for Use in Convolutional Neural Networks". Sensors 21, n.º 21 (29 de outubro de 2021): 7221. http://dx.doi.org/10.3390/s21217221.
Texto completo da fonteGe, S. S., e T. H. Lee. "Parallel Adaptive Neural Network Control of Robots". Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 208, n.º 4 (novembro de 1994): 231–37. http://dx.doi.org/10.1243/pime_proc_1994_208_336_02.
Texto completo da fonteSousa, Miguel Angelo de Abreu de, Edson Lemos Horta, Sergio Takeo Kofuji e Emilio Del-Moral-Hernandez. "Architecture Analysis of an FPGA-Based Hopfield Neural Network". Advances in Artificial Neural Systems 2014 (9 de dezembro de 2014): 1–10. http://dx.doi.org/10.1155/2014/602325.
Texto completo da fonteCARTLING, BO. "GENERATION OF ASSOCIATIVE PROCESSES IN A NEURAL NETWORK WITH REALISTIC FEATURES OF ARCHITECTURE AND UNITS". International Journal of Neural Systems 05, n.º 03 (setembro de 1994): 181–94. http://dx.doi.org/10.1142/s0129065794000207.
Texto completo da fonteRivera-Rovelo, Jorge, e Eduardo Bayro-Corrochano. "Surface Approximation using Growing Self-Organizing Nets and Gradient Information". Applied Bionics and Biomechanics 4, n.º 3 (2007): 125–36. http://dx.doi.org/10.1155/2007/502679.
Texto completo da fontePuga-Guzmán, Sergio A., Carlos Aguilar-Avelar, Javier Moreno-Valenzuela e Víctor Santibáñez. "Tracking of periodic oscillations in an underactuated system via adaptive neural networks". Journal of Low Frequency Noise, Vibration and Active Control 37, n.º 1 (18 de janeiro de 2018): 128–43. http://dx.doi.org/10.1177/1461348417752988.
Texto completo da fonteHou, Wen-Juan, e Bamfa Ceesay. "Exploring the Adaptation of Recurrent Neural Network Approaches for Extracting Drug–Drug Interactions from Biomedical Text". International Journal of Machine Learning and Computing 11, n.º 4 (agosto de 2021): 267–73. http://dx.doi.org/10.18178/ijmlc.2021.11.4.1046.
Texto completo da fonteBOURBAKIS, N., P. KAKUMANU, S. MAKROGIANNIS, R. BRYLL e S. PANCHANATHAN. "NEURAL NETWORK APPROACH FOR IMAGE CHROMATIC ADAPTATION FOR SKIN COLOR DETECTION". International Journal of Neural Systems 17, n.º 01 (fevereiro de 2007): 1–12. http://dx.doi.org/10.1142/s0129065707000920.
Texto completo da fonteWestendorff, Stephanie, Shenbing Kuang, Bahareh Taghizadeh, Opher Donchin e Alexander Gail. "Asymmetric generalization in adaptation to target displacement errors in humans and in a neural network model". Journal of Neurophysiology 113, n.º 7 (abril de 2015): 2360–75. http://dx.doi.org/10.1152/jn.00483.2014.
Texto completo da fonteZhang, Byoung-Tak, Peter Ohm e Heinz Mühlenbein. "Evolutionary Induction of Sparse Neural Trees". Evolutionary Computation 5, n.º 2 (junho de 1997): 213–36. http://dx.doi.org/10.1162/evco.1997.5.2.213.
Texto completo da fonteTunik, Eugene, Paul J. Schmitt e Scott T. Grafton. "BOLD Coherence Reveals Segregated Functional Neural Interactions When Adapting to Distinct Torque Perturbations". Journal of Neurophysiology 97, n.º 3 (março de 2007): 2107–20. http://dx.doi.org/10.1152/jn.00405.2006.
Texto completo da fonteWang, Xiaoqing, e Xiangjun Wang. "Unsupervised Domain Adaptation with Coupled Generative Adversarial Autoencoders". Applied Sciences 8, n.º 12 (7 de dezembro de 2018): 2529. http://dx.doi.org/10.3390/app8122529.
Texto completo da fonteSCHNEIDEWIND, NORMAN. "APPLYING NEURAL NETWORKS TO SOFTWARE RELIABILITY ASSESSMENT". International Journal of Reliability, Quality and Safety Engineering 17, n.º 04 (agosto de 2010): 313–29. http://dx.doi.org/10.1142/s0218539310003834.
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