# Universal approximation theorem

## Papers overview

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Review

2016

Review

2016

- 2016

Next-generation sequencing (NGS) is a rapidly evolving set of technologies that can be used to determine the sequence of anâ€¦Â (More)

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2010

Highly Cited

2010

- Neural Computation
- 2010

Deep belief networks (DBN) are generative models with many layers of hidden causal variables, recently introduced by Hintonâ€¦Â (More)

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2006

2006

- Int. J. Math. Mathematical Sciences
- 2006

The paper deals with an extension theorem by Costakis and Vlachou on simultaneous approximation for holomorphic function to theâ€¦Â (More)

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2005

2005

- Neural Computation
- 2005

Cascade correlation (CC) constitutes a training method for neural networks that determines the weights as well as the neuralâ€¦Â (More)

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2003

2003

- Fuzzy Sets and Systems
- 2003

Most existing universal approximation results for fuzzy systems are based on the assumption that we use t conorms and t conormsâ€¦Â (More)

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2003

Highly Cited

2003

- Neural Computation
- 2003

We investigate the approximation ability of a multi layer perceptron (MLP) network when it is extended to the complex domain. Theâ€¦Â (More)

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1998

Highly Cited

1998

- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 1998

In this paper, we propose the approximate transformable technique, which includes the direct transformation and indirectâ€¦Â (More)

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1995

Highly Cited

1995

- IEEE Trans. Neural Networks
- 1995

A theoretical justification for the random vector version of the functional-link (RVFL) net is presented in this paper, based onâ€¦Â (More)

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1990

Highly Cited

1990

- Neural Computation
- 1990

A neural network with a single layer of hidden units of gaussian type is proved to be a universal approximator for real-valuedâ€¦Â (More)

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1989

Highly Cited

1989

- International Joint Conference on Neuralâ€¦
- 1989

K.M. Hornik, M. Stinchcombe, and H. White (Univ. of California at San Diego, Dept. of Economics Discussion Paper, June 1988; toâ€¦Â (More)

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