Journal articles on the topic 'Unsupervised neural networks'
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Murnion, Shane D. "Spatial analysis using unsupervised neural networks." Computers & Geosciences 22, no. 9 (November 1996): 1027–31. http://dx.doi.org/10.1016/s0098-3004(96)00041-6.
Full textLuo, Shuyue, Shangbo Zhou, Yong Feng, and Jiangan Xie. "Pansharpening via Unsupervised Convolutional Neural Networks." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (2020): 4295–310. http://dx.doi.org/10.1109/jstars.2020.3008047.
Full textMeuleman, J., and C. van Kaam. "UNSUPERVISED IMAGE SEGMENTATION WITH NEURAL NETWORKS." Acta Horticulturae, no. 562 (November 2001): 101–8. http://dx.doi.org/10.17660/actahortic.2001.562.10.
Full textGunhan, Atilla E., László P. Csernai, and Jørgen Randrup. "UNSUPERVISED COMPETITIVE LEARNING IN NEURAL NETWORKS." International Journal of Neural Systems 01, no. 02 (January 1989): 177–86. http://dx.doi.org/10.1142/s0129065789000086.
Full textBecker, Suzanna. "UNSUPERVISED LEARNING PROCEDURES FOR NEURAL NETWORKS." International Journal of Neural Systems 02, no. 01n02 (January 1991): 17–33. http://dx.doi.org/10.1142/s0129065791000030.
Full textHamad, D., C. Firmin, and J. G. Postaire. "Unsupervised pattern classification by neural networks." Mathematics and Computers in Simulation 41, no. 1-2 (June 1996): 109–16. http://dx.doi.org/10.1016/0378-4754(95)00063-1.
Full textVamaraju, Janaki, and Mrinal K. Sen. "Unsupervised physics-based neural networks for seismic migration." Interpretation 7, no. 3 (August 1, 2019): SE189—SE200. http://dx.doi.org/10.1190/int-2018-0230.1.
Full textXu, Jianqiao, Zhaolu Zuo, Danchao Wu, Bing Li, Xiaoni Li, and Deyi Kong. "Bearing Defect Detection with Unsupervised Neural Networks." Shock and Vibration 2021 (August 19, 2021): 1–11. http://dx.doi.org/10.1155/2021/9544809.
Full textRaja, Muhammad Asif Zahoor. "Unsupervised neural networks for solving Troesch's problem." Chinese Physics B 23, no. 1 (January 2014): 018903. http://dx.doi.org/10.1088/1674-1056/23/1/018903.
Full textParisi, Daniel R., Marı́a C. Mariani, and Miguel A. Laborde. "Solving differential equations with unsupervised neural networks." Chemical Engineering and Processing: Process Intensification 42, no. 8-9 (August 2003): 715–21. http://dx.doi.org/10.1016/s0255-2701(02)00207-6.
Full textErgen, Tolga, and Suleyman Serdar Kozat. "Unsupervised Anomaly Detection With LSTM Neural Networks." IEEE Transactions on Neural Networks and Learning Systems 31, no. 8 (August 2020): 3127–41. http://dx.doi.org/10.1109/tnnls.2019.2935975.
Full textJonker, H. J. J., and A. C. C. Coolen. "Unsupervised dynamic learning in layered neural networks." Journal of Physics A: Mathematical and General 24, no. 17 (September 7, 1991): 4219–34. http://dx.doi.org/10.1088/0305-4470/24/17/032.
Full textZhou, Errui, Liang Fang, and Binbin Yang. "Memristive Spiking Neural Networks Trained with Unsupervised STDP." Electronics 7, no. 12 (December 6, 2018): 396. http://dx.doi.org/10.3390/electronics7120396.
Full textResta, Marina, Michele Sonnessa, Elena Tànfani, and Angela Testi. "Unsupervised neural networks for clustering emergent patient flows." Operations Research for Health Care 18 (September 2018): 41–51. http://dx.doi.org/10.1016/j.orhc.2017.08.002.
Full textRyu, Jongbin, Ming-Hsuan Yang, and Jongwoo Lim. "Unsupervised feature learning for self-tuning neural networks." Neural Networks 133 (January 2021): 103–11. http://dx.doi.org/10.1016/j.neunet.2020.10.011.
Full textHinton, G., P. Dayan, B. Frey, and R. Neal. "The "wake-sleep" algorithm for unsupervised neural networks." Science 268, no. 5214 (May 26, 1995): 1158–61. http://dx.doi.org/10.1126/science.7761831.
Full textBegin, J., and R. Proulx. "Categorization in unsupervised neural networks: the Eidos model." IEEE Transactions on Neural Networks 7, no. 1 (January 1996): 147–54. http://dx.doi.org/10.1109/72.478399.
Full textElazouni, Ashraf M. "Classifying Construction Contractors Using Unsupervised-Learning Neural Networks." Journal of Construction Engineering and Management 132, no. 12 (December 2006): 1242–53. http://dx.doi.org/10.1061/(asce)0733-9364(2006)132:12(1242).
Full textMUHAMMED, HAMED HAMID. "UNSUPERVISED FUZZY CLUSTERING USING WEIGHTED INCREMENTAL NEURAL NETWORKS." International Journal of Neural Systems 14, no. 06 (December 2004): 355–71. http://dx.doi.org/10.1142/s0129065704002121.
Full textAtiya, Amir F. "An unsupervised learning technique for artificial neural networks." Neural Networks 3, no. 6 (January 1990): 707–11. http://dx.doi.org/10.1016/0893-6080(90)90058-s.
Full textPavlidis, N. G., V. P. Plagianakos, D. K. Tasoulis, and M. N. Vrahatis. "Financial forecasting through unsupervised clustering and neural networks." Operational Research 6, no. 2 (May 2006): 103–27. http://dx.doi.org/10.1007/bf02941227.
Full textBernert, Marie, and Blaise Yvert. "An Attention-Based Spiking Neural Network for Unsupervised Spike-Sorting." International Journal of Neural Systems 29, no. 08 (September 25, 2019): 1850059. http://dx.doi.org/10.1142/s0129065718500594.
Full textKrotov, Dmitry, and John J. Hopfield. "Unsupervised learning by competing hidden units." Proceedings of the National Academy of Sciences 116, no. 16 (March 29, 2019): 7723–31. http://dx.doi.org/10.1073/pnas.1820458116.
Full textAragon-Calvo, M. A., and J. C. Carvajal. "Self-supervised learning with physics-aware neural networks – I. Galaxy model fitting." Monthly Notices of the Royal Astronomical Society 498, no. 3 (September 7, 2020): 3713–19. http://dx.doi.org/10.1093/mnras/staa2228.
Full textZhang, Pengfei, and Xiaoming Ju. "Adversarial Sample Detection with Gaussian Mixture Conditional Generative Adversarial Networks." Mathematical Problems in Engineering 2021 (September 13, 2021): 1–18. http://dx.doi.org/10.1155/2021/8268249.
Full textLo, James Ting-Ho. "A Low-Order Model of Biological Neural Networks." Neural Computation 23, no. 10 (October 2011): 2626–82. http://dx.doi.org/10.1162/neco_a_00166.
Full textChakravarty, Aniv, and Jagadish S. Kallimani. "Unsupervised Multi-Document Abstractive Summarization Using Recursive Neural Network with Attention Mechanism." Journal of Computational and Theoretical Nanoscience 17, no. 9 (July 1, 2020): 3867–72. http://dx.doi.org/10.1166/jctn.2020.8976.
Full textBrowne, David, Michael Giering, and Steven Prestwich. "PulseNetOne: Fast Unsupervised Pruning of Convolutional Neural Networks for Remote Sensing." Remote Sensing 12, no. 7 (March 29, 2020): 1092. http://dx.doi.org/10.3390/rs12071092.
Full textMihaylov, Oleg, Galina Nikolcheva, and Peter Popov. "SETUP GENERATION USING NEURAL NETWORKS." CBU International Conference Proceedings 5 (September 24, 2017): 1169–74. http://dx.doi.org/10.12955/cbup.v5.1090.
Full textGu, Ming. "The Algorithm of Quadratic Junction Neural Network." Applied Mechanics and Materials 462-463 (November 2013): 438–42. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.438.
Full textZhuang, Chengxu, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, and Daniel L. K. Yamins. "Unsupervised neural network models of the ventral visual stream." Proceedings of the National Academy of Sciences 118, no. 3 (January 11, 2021): e2014196118. http://dx.doi.org/10.1073/pnas.2014196118.
Full textSupatman, Supatman, and Sri Ayem. "UMKM Clusterization with Unsupervised Neural Networks Method for Accounting by Business Capital." TAMANSISWA INTERNATIONAL JOURNAL IN EDUCATION AND SCIENCE 2, no. 1 (October 27, 2020): 33–39. http://dx.doi.org/10.30738/tijes.v2i1.7698.
Full textSharma, Rachita, and Sanjay Kumar Dubey. "ANALYSIS OF SOM & SOFM TECHNIQUES USED IN SATELLITE IMAGERY." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 2 (June 21, 2018): 563–65. http://dx.doi.org/10.24297/ijct.v4i2c1.4181.
Full textPAVLIDIS, N. G., D. K. TASOULIS, V. P. PLAGIANAKOS, and M. N. VRAHATIS. "COMPUTATIONAL INTELLIGENCE METHODS FOR FINANCIAL TIME SERIES MODELING." International Journal of Bifurcation and Chaos 16, no. 07 (July 2006): 2053–62. http://dx.doi.org/10.1142/s0218127406015891.
Full textCrawford, Eric, and Joelle Pineau. "Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3412–20. http://dx.doi.org/10.1609/aaai.v33i01.33013412.
Full textDamilola, Samson. "A Review of Unsupervised Artificial Neural Networks with Applications." International Journal of Computer Applications 181, no. 40 (February 15, 2019): 22–26. http://dx.doi.org/10.5120/ijca2019918425.
Full textSaunders, Daniel J., Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, and Robert Kozma. "Locally connected spiking neural networks for unsupervised feature learning." Neural Networks 119 (November 2019): 332–40. http://dx.doi.org/10.1016/j.neunet.2019.08.016.
Full textRanjard, Louis, and Howard A. Ross. "Unsupervised bird song syllable classification using evolving neural networks." Journal of the Acoustical Society of America 123, no. 6 (June 2008): 4358–68. http://dx.doi.org/10.1121/1.2903861.
Full textTagliaferri, R., N. Capuano, and G. Gargiulo. "Automated labeling for unsupervised neural networks: a hierarchical approach." IEEE Transactions on Neural Networks 10, no. 1 (1999): 199–203. http://dx.doi.org/10.1109/72.737509.
Full textSun, Yanan, Gary G. Yen, and Zhang Yi. "Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations." IEEE Transactions on Evolutionary Computation 23, no. 1 (February 2019): 89–103. http://dx.doi.org/10.1109/tevc.2018.2808689.
Full textKumar, V. P., and E. S. Manolakos. "Unsupervised statistical neural networks for model-based object recognition." IEEE Transactions on Signal Processing 45, no. 11 (1997): 2709–18. http://dx.doi.org/10.1109/78.650097.
Full textDosovitskiy, Alexey, Philipp Fischer, Jost Tobias Springenberg, Martin Riedmiller, and Thomas Brox. "Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks." IEEE Transactions on Pattern Analysis and Machine Intelligence 38, no. 9 (September 1, 2016): 1734–47. http://dx.doi.org/10.1109/tpami.2015.2496141.
Full textStorrs, Katherine R., and Roland W. Fleming. "Unsupervised Neural Networks Learn Idiosyncrasies of Human Gloss Perception." Journal of Vision 19, no. 10 (September 6, 2019): 213. http://dx.doi.org/10.1167/19.10.213.
Full textBarreto, Guilherme de A., and Aluizio F. R. Araújo. "Fast learning of robot trajectories via unsupervised neural networks." IFAC Proceedings Volumes 32, no. 2 (July 1999): 5076–81. http://dx.doi.org/10.1016/s1474-6670(17)56864-0.
Full textKosko, B. A. "Structural stability of unsupervised learning in feedback neural networks." IEEE Transactions on Automatic Control 36, no. 7 (July 1991): 785–92. http://dx.doi.org/10.1109/9.85058.
Full textLikhovidov, Victor. "Variational Approach to Unsupervised Learning Algorithms of Neural Networks." Neural Networks 10, no. 2 (March 1997): 273–89. http://dx.doi.org/10.1016/s0893-6080(96)00051-2.
Full textEmami, Ebrahim, Touqeer Ahmad, George Bebis, Ara Nefian, and Terry Fong. "Crater Detection Using Unsupervised Algorithms and Convolutional Neural Networks." IEEE Transactions on Geoscience and Remote Sensing 57, no. 8 (August 2019): 5373–83. http://dx.doi.org/10.1109/tgrs.2019.2899122.
Full textMunoz-Martin, Irene, Stefano Bianchi, Giacomo Pedretti, Octavian Melnic, Stefano Ambrogio, and Daniele Ielmini. "Unsupervised Learning to Overcome Catastrophic Forgetting in Neural Networks." IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5, no. 1 (June 2019): 58–66. http://dx.doi.org/10.1109/jxcdc.2019.2911135.
Full textMishra, Bhabani Shankar Prasad, Om Pandey, Satchidananda Dehuri, and Sung-Bae Cho. "Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis." IEEE Access 8 (2020): 169215–28. http://dx.doi.org/10.1109/access.2020.3024111.
Full textWen, C. M., S. L. Hung, C. S. Huang, and J. C. Jan. "Unsupervised fuzzy neural networks for damage detection of structures." Structural Control and Health Monitoring 14, no. 1 (2007): 144–61. http://dx.doi.org/10.1002/stc.116.
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