Journal Article10.1002/9781118032978.ch13
Neural Network Models
Kurt Hornik,Friedrich Leisch +1 more
- 25 Jan 2011
pp 348-362
About: The article was published on 25 Jan 2011.
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TL;DR: The fundamental principles, basic mechanisms, and formal analyses involved in the development of parallel distributed processing (PDP) systems are presented in individual chapters contributed by leading experts.
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The perception: a probabilistic model for information storage and organization in the brain
F. Rosenblatt
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TL;DR: The second and third questions are still subject to a vast amount of speculation, and where the few relevant facts currently supplied by neurophysiology have not yet been integrated into an acceptable theory as mentioned in this paper.
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TL;DR: This paper informs a statistical readership about Artificial Neural Networks (ANNs), points out some of the links with statistical methodology and encourages cross-disciplinary research in the directions most likely to bear fruit, and treats various topics in more depth.
Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems
Tianping Chen,Hong Chen +1 more
TL;DR: The main results are: every Tauber-Wiener function is qualified as an activation function in the hidden layer of a three-layered neural network and the possibility by neural computation to approximate the output as a whole of a dynamical system, thus identifying the system.
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