Artículos de revistas sobre el tema "Supervised neural network"
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Tian, Jidong, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He y Yaohui Jin. "Weakly Supervised Neural Symbolic Learning for Cognitive Tasks". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 5 (28 de junio de 2022): 5888–96. http://dx.doi.org/10.1609/aaai.v36i5.20533.
Texto completoIto, Toshio. "Supervised Learning Methods of Bilinear Neural Network Systems Using Discrete Data". International Journal of Machine Learning and Computing 6, n.º 5 (octubre de 2016): 235–40. http://dx.doi.org/10.18178/ijmlc.2016.6.5.604.
Texto completoVerma, Vikas, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala y Jian Tang. "GraphMix: Improved Training of GNNs for Semi-Supervised Learning". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 11 (18 de mayo de 2021): 10024–32. http://dx.doi.org/10.1609/aaai.v35i11.17203.
Texto completoHu, Jinghan. "Semi-supervised Blindness Detection with Neural Network Ensemble". Highlights in Science, Engineering and Technology 12 (26 de agosto de 2022): 171–76. http://dx.doi.org/10.54097/hset.v12i.1448.
Texto completoHindarto, Djarot y Handri Santoso. "Performance Comparison of Supervised Learning Using Non-Neural Network and Neural Network". Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 11, n.º 1 (6 de abril de 2022): 49. http://dx.doi.org/10.23887/janapati.v11i1.40768.
Texto completoLiu, Chenghua, Zhuolin Liao, Yixuan Ma y Kun Zhan. "Stationary Diffusion State Neural Estimation for Multiview Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junio de 2022): 7542–49. http://dx.doi.org/10.1609/aaai.v36i7.20719.
Texto completoCho, Myoung Won. "Supervised learning in a spiking neural network". Journal of the Korean Physical Society 79, n.º 3 (20 de julio de 2021): 328–35. http://dx.doi.org/10.1007/s40042-021-00254-4.
Texto completoWang, Juexin, Anjun Ma, Qin Ma, Dong Xu y Trupti Joshi. "Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks". Computational and Structural Biotechnology Journal 18 (2020): 3335–43. http://dx.doi.org/10.1016/j.csbj.2020.10.022.
Texto completoNobukawa, Sou, Haruhiko Nishimura y Teruya Yamanishi. "Pattern Classification by Spiking Neural Networks Combining Self-Organized and Reward-Related Spike-Timing-Dependent Plasticity". Journal of Artificial Intelligence and Soft Computing Research 9, n.º 4 (1 de octubre de 2019): 283–91. http://dx.doi.org/10.2478/jaiscr-2019-0009.
Texto completoZhao, Shijie, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu y Jinglei Lv. "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.
Texto completoFu, Chentao, Shuiying Xiang, Yanan Han, Ziwei Song y Yue Hao. "Multilayer Photonic Spiking Neural Networks: Generalized Supervised Learning Algorithm and Network Optimization". Photonics 9, n.º 4 (25 de marzo de 2022): 217. http://dx.doi.org/10.3390/photonics9040217.
Texto completoTan, Junyang, Dan Xia, Shiyun Dong, Honghao Zhu y Binshi Xu. "Research On Pre-Training Method and Generalization Ability of Big Data Recognition Model of the Internet of Things". ACM Transactions on Asian and Low-Resource Language Information Processing 20, n.º 5 (20 de julio de 2021): 1–15. http://dx.doi.org/10.1145/3433539.
Texto completoJavidi, Mohammad Masoud. "Network Attacks Detection by Hierarchical Neural Network". Computer Engineering and Applications Journal 4, n.º 2 (18 de junio de 2015): 119–32. http://dx.doi.org/10.18495/comengapp.v4i2.108.
Texto completoFloreano, Dario. "An internal teacher for neural computation". Behavioral and Brain Sciences 20, n.º 4 (diciembre de 1997): 687–88. http://dx.doi.org/10.1017/s0140525x97261601.
Texto completoSarukkai, Ramesh R. "Supervised Networks That Self-Organize Class Outputs". Neural Computation 9, n.º 3 (1 de marzo de 1997): 637–48. http://dx.doi.org/10.1162/neco.1997.9.3.637.
Texto completoWu, Wei, Guangmin Hu y Fucai Yu. "Ricci Curvature-Based Semi-Supervised Learning on an Attributed Network". Entropy 23, n.º 3 (27 de febrero de 2021): 292. http://dx.doi.org/10.3390/e23030292.
Texto completoSun, Li, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su y Philip S. Yu. "A Self-Supervised Mixed-Curvature Graph Neural Network". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 4 (28 de junio de 2022): 4146–55. http://dx.doi.org/10.1609/aaai.v36i4.20333.
Texto completoShin, Sungho, Jongwon Kim, Yeonguk Yu, Seongju Lee y Kyoobin Lee. "Self-Supervised Transfer Learning from Natural Images for Sound Classification". Applied Sciences 11, n.º 7 (29 de marzo de 2021): 3043. http://dx.doi.org/10.3390/app11073043.
Texto completoGou, Ruru, Wenzhu Yang, Zifei Luo, Yunfeng Yuan y Andong Li. "Tohjm-Trained Multiscale Spatial Temporal Graph Convolutional Neural Network for Semi-Supervised Skeletal Action Recognition". Electronics 11, n.º 21 (28 de octubre de 2022): 3498. http://dx.doi.org/10.3390/electronics11213498.
Texto completoHamdan, Baida Abdulredha. "Neural Network Principles and its Application". Webology 19, n.º 1 (20 de enero de 2022): 3955–70. http://dx.doi.org/10.14704/web/v19i1/web19261.
Texto completoZhang, Yinan y Wenyu Chen. "Incorporating Siamese Network Structure into Graph Neural Network". Journal of Physics: Conference Series 2171, n.º 1 (1 de enero de 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2171/1/012023.
Texto completoAli Humayun, Mohammad, Ibrahim Hameed, Syed Muslim Shah, Sohaib Hassan Khan, Irfan Zafar, Saad Bin Ahmed y Junaid Shuja. "Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning". Applied Sciences 9, n.º 9 (13 de mayo de 2019): 1956. http://dx.doi.org/10.3390/app9091956.
Texto completoTomasov, Adrian, Martin Holik, Vaclav Oujezsky, Tomas Horvath y Petr Munster. "GPON PLOAMd Message Analysis Using Supervised Neural Networks". Applied Sciences 10, n.º 22 (18 de noviembre de 2020): 8139. http://dx.doi.org/10.3390/app10228139.
Texto completoSayed, Mohamed y Faris Baker. "E-Learning Optimization Using Supervised Artificial Neural-Network". Journal of Software Engineering and Applications 08, n.º 01 (2015): 26–34. http://dx.doi.org/10.4236/jsea.2015.81004.
Texto completoSaleem, Nasir, Muhammad Irfan Khattak y Abdul Baser Qazi. "Supervised speech enhancement based on deep neural network". Journal of Intelligent & Fuzzy Systems 37, n.º 4 (25 de octubre de 2019): 5187–201. http://dx.doi.org/10.3233/jifs-190047.
Texto completoIssa, Riham J. y Yusra F. Al-Irhaym. "Audio source separation using supervised deep neural network". Journal of Physics: Conference Series 1879, n.º 2 (1 de mayo de 2021): 022077. http://dx.doi.org/10.1088/1742-6596/1879/2/022077.
Texto completoKhashman, Adnan y Claudia Georgeta Carstea. "Oil price prediction using a supervised neural network". International Journal of Oil, Gas and Coal Technology 20, n.º 3 (2019): 360. http://dx.doi.org/10.1504/ijogct.2019.098458.
Texto completoCarstea, Claudia Georgeta y Adnan Khashman. "Oil price prediction using a supervised neural network". International Journal of Oil, Gas and Coal Technology 20, n.º 3 (2019): 360. http://dx.doi.org/10.1504/ijogct.2019.10020004.
Texto completoSalam, F. M. A. y S. Bai. "A new feedback neural network with supervised learning". IEEE Transactions on Neural Networks 2, n.º 1 (1991): 170–73. http://dx.doi.org/10.1109/72.80309.
Texto completoKHASHMAN, ADNAN y BORAN SEKEROGLU. "DOCUMENT IMAGE BINARISATION USING A SUPERVISED NEURAL NETWORK". International Journal of Neural Systems 18, n.º 05 (octubre de 2008): 405–18. http://dx.doi.org/10.1142/s0129065708001671.
Texto completoZhou, Yu, Lian Tian y Linfei Liu. "Improved Extension Neural Network and Its Applications". Mathematical Problems in Engineering 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/593021.
Texto completoDeolia, Vinay Kumar y Manoj Kumar. "A Novel Medical Image Retrieval based on Deep Convolutional Neural Network and Supervised Hashing". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 11-SPECIAL ISSUE (29 de noviembre de 2019): 208–14. http://dx.doi.org/10.5373/jardcs/v11sp11/20192949.
Texto completoHou, Xue Mei. "Noise-Robust Speech Recognition Based on RBF Neural Network". Advanced Materials Research 217-218 (marzo de 2011): 413–18. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.413.
Texto completoLi, Jitao, Chugui Xu, Yongquan Liang, Gengkun Wu y Zhao Liang. "An RBF Neural Network Clustering Algorithm Based on K-Nearest Neighbor". Mathematical Problems in Engineering 2022 (24 de agosto de 2022): 1–9. http://dx.doi.org/10.1155/2022/1083961.
Texto completoRouček, Tomáš, Arash Sadeghi Amjadi, Zdeněk Rozsypálek, George Broughton, Jan Blaha, Keerthy Kusumam y Tomáš Krajník. "Self-Supervised Robust Feature Matching Pipeline for Teach and Repeat Navigation". Sensors 22, n.º 8 (7 de abril de 2022): 2836. http://dx.doi.org/10.3390/s22082836.
Texto completoKulathunga, Nalinda, Nishath Rajiv Ranasinghe, Daniel Vrinceanu, Zackary Kinsman, Lei Huang y Yunjiao Wang. "Effects of Nonlinearity and Network Architecture on the Performance of Supervised Neural Networks". Algorithms 14, n.º 2 (5 de febrero de 2021): 51. http://dx.doi.org/10.3390/a14020051.
Texto completoAragon-Calvo, M. A. y J. C. Carvajal. "Self-supervised learning with physics-aware neural networks – I. Galaxy model fitting". Monthly Notices of the Royal Astronomical Society 498, n.º 3 (7 de septiembre de 2020): 3713–19. http://dx.doi.org/10.1093/mnras/staa2228.
Texto completoChoi, Inkyu, Soo Hyun Bae y Nam Soo Kim. "Deep Convolutional Neural Network with Structured Prediction for Weakly Supervised Audio Event Detection". Applied Sciences 9, n.º 11 (4 de junio de 2019): 2302. http://dx.doi.org/10.3390/app9112302.
Texto completoMAGOULAS, GEORGE D. y MICHAEL N. VRAHATIS. "ADAPTIVE ALGORITHMS FOR NEURAL NETWORK SUPERVISED LEARNING: A DETERMINISTIC OPTIMIZATION APPROACH". International Journal of Bifurcation and Chaos 16, n.º 07 (julio de 2006): 1929–50. http://dx.doi.org/10.1142/s0218127406015805.
Texto completoLin, Yi-Nan, Tsang-Yen Hsieh, Cheng-Ying Yang, Victor RL Shen, Tony Tong-Ying Juang y Wen-Hao Chen. "Deep Petri nets of unsupervised and supervised learning". Measurement and Control 53, n.º 7-8 (9 de junio de 2020): 1267–77. http://dx.doi.org/10.1177/0020294020923375.
Texto completoZhang, Hong y Hongying Huang. "Neural Network for Solving Nonlinear Parabolic Differential Equations". Journal of Physics: Conference Series 2381, n.º 1 (1 de diciembre de 2022): 012050. http://dx.doi.org/10.1088/1742-6596/2381/1/012050.
Texto completoLi, Jianhe y Suohai Fan. "GRNN: Graph-Retraining Neural Network for Semi-Supervised Node Classification". Algorithms 16, n.º 3 (22 de febrero de 2023): 126. http://dx.doi.org/10.3390/a16030126.
Texto completoJiang, Yi y Hui Sun. "Top-K Pseudo Labeling for Semi-Supervised Image Classification". International Journal of Data Warehousing and Mining 19, n.º 2 (30 de diciembre de 2022): 1–18. http://dx.doi.org/10.4018/ijdwm.316150.
Texto completoHUNG, CHENG-AN y SHENG-FUU LIN. "AN INCREMENTAL LEARNING NEURAL NETWORK FOR PATTERN CLASSIFICATION". International Journal of Pattern Recognition and Artificial Intelligence 13, n.º 06 (septiembre de 1999): 913–28. http://dx.doi.org/10.1142/s0218001499000501.
Texto completoDapkus, Paulius, Liudas Mažeika y Vytautas Sliesoraitis. "A study of supervised combined neural-network-based ultrasonic method for reconstruction of spatial distribution of material properties". Information Technology And Control 49, n.º 3 (23 de septiembre de 2020): 381–94. http://dx.doi.org/10.5755/j01.itc.49.3.26792.
Texto completoQin, Shanshan, Nayantara Mudur y Cengiz Pehlevan. "Contrastive Similarity Matching for Supervised Learning". Neural Computation 33, n.º 5 (13 de abril de 2021): 1300–1328. http://dx.doi.org/10.1162/neco_a_01374.
Texto completoMane, Deepak T., Rahul Moorthy, Prashant Kumbharkar, Gopal Upadhye, Dipmala Salunke y Rashmi Ashtagi. "Pattern Classification Using Supervised Hypersphere Neural Network0". International Journal of Emerging Technology and Advanced Engineering 12, n.º 8 (4 de agosto de 2022): 214–22. http://dx.doi.org/10.46338/ijetae0822_25.
Texto completoGaiduk, A. R., O. V. Martjanov, M. Yu Medvedev, V. Kh Pshikhopov, N. Hamdan y A. Farhood. "Neural Network Based Control System for Robots Group Operating in 2-d Uncertain Environment". Mekhatronika, Avtomatizatsiya, Upravlenie 21, n.º 8 (5 de agosto de 2020): 470–79. http://dx.doi.org/10.17587/mau.21.470-479.
Texto completoFRASCONI, PAOLO, MARCO GORI y GIOVANNI SODA. "DAPHNE: DATA PARALLELISM NEURAL NETWORK SIMULATOR". International Journal of Modern Physics C 04, n.º 01 (febrero de 1993): 17–28. http://dx.doi.org/10.1142/s0129183193000045.
Texto completoKulkarni, Shruti R. y Bipin Rajendran. "Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization". Neural Networks 103 (julio de 2018): 118–27. http://dx.doi.org/10.1016/j.neunet.2018.03.019.
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