Neural Network Classification
Neural Network Classification is a machine learning approach that employs interconnected layers of artificial neurons to model complex, non-linear relationships in data for the purpose of assigning input samples to predefined categories based on learned patterns.
7K
Publications
476.5K
Citations
20.2K
Authors
4.6K
Institutions
Publications per year
2017–2026
2.5K
7K
Neural networks for pattern recognition
Choice Reviews Online · 1994 · 18.7K citations
Backpropagation Applied to Handwritten Zip Code Recognition
Yann LeCun, Bernhard E. Boser, J. S. Denker et al. · Neural Computation · 1989 · 11.9K citations
An introduction to computing with neural nets
Richard P. Lippmann · IEEE ASSP Magazine · 1987 · 7.9K citations
Neural networks: A comprehensive foundation
Ryszard Tadeusiewicz · Control Engineering Practice · 1995 · 7.3K citations
Artificial neural networks: a tutorial
Abhishek Jain, Jianchang Mao, Khalid Mohiuddin · Computer · 1996 · 4.9K citations
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4.6K

Chinese Academy of Sciences
Beijing, China
36 h-index
187 publications
15.3K citations
Nanyang Technological University
Singapore, Singapore
32 h-index
130 publications
28.9K citations
National University of Singapore
Singapore, Singapore
29 h-index
81 publications
19.3K citations
Tsinghua University
Beijing, China
25 h-index
94 publications
6.1K citations

Centre National de la Recherche Scientifique
Paris, France
25 h-index
164 publications
13.2K citations
University of Chinese Academy of Sciences
Beijing, China
24 h-index
93 publications
10.3K citations
Stanford University
Stanford, United States
21 h-index
67 publications
9.7K citations

Shanghai Jiao Tong University
Shanghai, China
21 h-index
86 publications
7.2K citations
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197 publications · 29.4K citations
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Repository · 143 publications · 11.6K citations
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105 publications · 5.9K citations
39
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79 publications · 8.9K citations
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64 publications · 10.8K citations
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