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Synopsis
Univariate sigmoidal neural network quantitative approximation.- Univariate hyperbolic tangent neural network quantitative approximation.- Multivariate sigmoidal neural network quantitative approximation.- Multivariate hyperbolic tangent neural network quantitative approximation.
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Review
From the reviews:
“The present work is devoted to the study of convergence rates and upper bounds of approximation errors. ... Throughout all chapters of the book the same method, the same construction is used. ... The book has 107 pages and references are added to each chapter. The formal presentation by the Springer Verlag is excellent.” (Claudia Simionescu-Badea, Zentralblatt MATH, Vol. 1243, 2012)
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