๐”– Bobbio Scriptorium
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Issues on representational capabilities of artificial neural networks and their implementation

โœ Scribed by Mohammad Bahrami

Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
543 KB
Volume
10
Category
Article
ISSN
0884-8173

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โœฆ Synopsis

This work is an organized review on the representational capabilities of artificial neural networks and the questions that arise in their implementation. It covers the Kolmogorov's superposition theorem and different statements regarding how it could be related to the representational power of neural networks. Generalization capability of neural networks is then considered and methods of improving this capability are discussed. Some theorems and statements concerning the bound on the number of hidden layers, form of the activation function, and time complexity of training of neural networks are other subjects of this article.

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