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Universal approximation theorem
Known as:
Cybenko Theorem
, Universal approximator
In the mathematical theory of artificial neural networks, the universal approximation theorem states that a feed-forward network with a single hidden…
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Related topics
Related topics
11 relations
Artificial neural network
Computational learning theory
Deep learning
Feedforward neural network
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Broader (1)
Network architecture
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
FRI model based pre-evaluation in IEC
Z. Krizsán
,
S. Kovács
International Symposium on Applied Computational…
2009
Corpus ID: 358553
There are a lot of application areas of evolutionary computation approaches, where the evaluation of the fitness of an object is…
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2008
2008
Adaptive Peer-to-Peer Social Networks for Distributed Content-Based Web Search
Le-Shin Wu
,
R. Akavipat
,
Ana Gabriela Maguitman
,
F. Menczer
2008
Corpus ID: 7650203
In this chapter we propose a collaborative peer network application called 6Search (6S) to address the scalability limitations of…
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2008
2008
LMI-Based Adaptive Tracking Control for Parametric Strict-Feedback Systems
Kuang-Yow Lian
,
H. Tu
IEEE transactions on fuzzy systems
2008
Corpus ID: 33914990
This paper presents an effective linear matrix inequality (LMI)-based adaptive scheme to design the output tracking controller…
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2007
2007
Adaptive Observer using Auto-generating B-splines
Dane Baang
,
J. Stoev
,
J. Choi
2007
Corpus ID: 54888653
This paper presents a new adaptive observer design method for a class of uncertain nonlinear systems by using spline…
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2006
2006
An Improved robust Adaptive Fuzzy controller for MIMO Systems
N. Essounbouli
,
A. Hamzaoui
,
J. Zaytoon
Control and Intelligent Systems
2006
Corpus ID: 27707555
This paper addresses robust fuzzy adaptive control for nonlinear multi-input multi-output systems in the presence of parametric…
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Review
2005
Review
2005
Fuzzy Approximation as a Theory Stemming from Fuzzy IF-THEN Rules
I. Perfilieva
2005
Corpus ID: 15411326
The notion of a linguistic variable [17] together with fuzzy IF-THEN rules suggested a new formalism in the description of a man…
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2004
2004
Universal Approximator Employing Neo-Fuzzy Neurons
Vitaliy Kolodyazhniy
,
Yevgeniy V. Bodyanskiy
,
P. Otto
Fuzzy Days
2004
Corpus ID: 33461461
A novel fuzzy neural network, called Fuzzy Kolmogorov’s Network (FKN), is considered. The network consists of two layers of neo…
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2003
2003
Fuzzy transforms and universal approximation
I. Perfilieva
EUSFLAT Conf.
2003
Corpus ID: 17837932
1998
1998
Optimization of adaptive fuzzy processor design
I. Baturone
,
S. Sánchez-Solano
,
A. Barriga
,
J. L. Huertas-Díaz
1998
Corpus ID: 60658117
A fuzzy processor is programmed to provide an optimum output for solving a given problem. It could theoretically solve any…
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1997
1997
Modelling Conditional Probability Densities with Neural Networks
D. Husmeier
1997
Corpus ID: 35657510