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Best approximation by Heaviside perceptron networks

✍ Scribed by P. Kainen; V. Kůrková; A. Vogt

Book ID
108458307
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
76 KB
Volume
13
Category
Article
ISSN
0893-6080

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Networks and the best approximation prop
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✍ F. Girosi; T. Poggio 📂 Article 📅 1990 🏛 Springer-Verlag 🌐 English ⚖ 815 KB

Networks can be considered as approximation schemes. Multilayer networks of the perceptron type can approximate arbitrarily well continuous functions (Cybenko 1988(Cybenko , 1989;;Funahashi 1989;Stinchcombe and White 1989). We prove that networks derived from regularization theory and including Radi