Multilayer Perceptron
A Multilayer Perceptron is a feedforward artificial neural network that consists of multiple layers of interconnected neurons, distinguished by its use of nonlinear activation functions and supervised learning to model complex functional relationships between inputs and outputs.
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Multilayer feedforward networks are universal approximators
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations
Neural networks for pattern recognition
Choice Reviews Online · 1994 · 18.7K citations
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., WhiteH. · Neural Networks · 1989 · 9.4K citations
An introduction to computing with neural nets
Richard P. Lippmann · IEEE ASSP Magazine · 1987 · 7.9K citations
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Nanyang Technological University
Singapore, Singapore
40 h-index
186 publications
29.7K citations

University of Tehran
Tehran, Iran
38 h-index
226 publications
10.1K citations

Chinese Academy of Sciences
Beijing, China
38 h-index
267 publications
21.4K citations

Centre National de la Recherche Scientifique
Paris, France
36 h-index
206 publications
9.4K citations
Duy Tan University
Da Nang, Vietnam
34 h-index
52 publications
3.2K citations
University of Tabriz
Tabriz, Iran
34 h-index
115 publications
7.3K citations

Indian Statistical Institute
Kolkata, India
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93 publications
9.6K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
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91 publications
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