Book Name: Intelligent Systems: Approximation by Artificial Neural Networks
Author: George A. Anastassiou
File size: 0.89 MB
File format: PDF
Intelligent Systems: Approximation by Artificial Neural Networks Pdf Book Description:
This short monograph is the first one to deal only with all the quantitative approximation by artificial neural networks into this identity-unit operator. Here we examine with speeds the approximation properties of this”directly” sigmoidal and hyperbolic tangent artificial neural network favorable linear operators. Specifically we examine the amount of approximation of the operators into the device operator at the univariate and multivariate cases over bounded or unbounded domain names. This is provided through inequalities and with the usage of modulus of all of the involved role or its own high order derivative. We analyze the real and intricate circumstances.
This treatise is based on writer’s last couple of decades of related research work.
Advanced classes and seminars could be educated from the short book. All essential background and motives are awarded per chapter. A related collection of references is provided additionally each chapter. Therefore this monograph is acceptable for researchers, graduate students, and conventions of the above mentioned subjects, too for all libraries.
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