Approximation and Radial-Basis-Function Networks-Reference-Cited by-同舟云学术

Approximation and Radial-Basis-Function Networks

Published:1993-03 Issue:2 Volume:5 Page:305-316
ISSN:0899-7667
Container-title:Neural Computation
language:en
Short-container-title:Neural Computation

Author:

Park Jooyoung¹,Sandberg Irwin W.¹

Affiliation:

1. Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712 USA

Abstract

This paper concerns conditions for the approximation of functions in certain general spaces using radial-basis-function networks. It has been shown in recent papers that certain classes of radial-basis-function networks are broad enough for universal approximation. In this paper these results are considerably extended and sharpened.

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience,Arts and Humanities (miscellaneous)

Link

https://www.mitpressjournals.org/doi/pdf/10.1162/neco.1993.5.2.305

Reference3 articles.

1. Approximation capabilities of multilayer feedforward networks

2. Universal Approximation Using Radial-Basis-Function Networks

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