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On the design of a class of neural networks

✍ Scribed by David V. Sánchez A.

Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
196 KB
Volume
19
Category
Article
ISSN
1084-8045

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✦ Synopsis

The design of the class of RBF networks is described. These three-layer networks possess the universal and best approximation capability in the framework of supervised learning of real functions of real vectors from examples and offer a large amount of applications. A learning method is described for finite network and data size, which is quite efficient for noise-free and noisy data. Its robust and efficient implementation as well as its evaluation is described.

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