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150702  eng 
020 


a 9783319205052

100 
1 

a Anastassiou, George A.

245 
0 
0 
a Intelligent Systems II: Complete Approximation by Neural Network Operators
h Elektronische Ressource
c by George A. Anastassiou

250 


a 1st ed. 2016

260 


a Cham
b Springer International Publishing
c 2016, 2016

300 


a XV, 712 p. 1 illus
b online resource

505 
0 

a Rate of Convergence of Basic Neural Network Operators to the Unit  Rate of Convergence of Basic Multivariate Neural Network Operators  Fractional Neural Network Operators Approximation  Fractional Approximation Using CardaliaguetEuvrard Neural Networks  Fractional Asymptotic Expansions for Quasiinterpolation neural Networks  Voronovskaya Type Asymptotic Expansions for Multivariate Neural Networks  Fractional Approximation by Bell and Squashing Neural Networks  Fractional Asymptotic Expansions For Bell And Squashing Neural Networks  Multivariate Asymptotic Expansions for Bell and Squashing Neural Networks  Multivariate FuzzyRandom Normalized Neural Network Approximation  Fuzzy Fractional Approximations by Fuzzy Bell and Squashing Neural Networks  Fuzzy Fractional Neural Network Approximation  Multivariate Fuzzy Approximation Using Basic Neural Network Operators  Multivariate Fuzzy Approximation Using QuasiInterpolation Neural Networks  Multivariate FuzzyRandom Neural Networks Approximation  Approximation by Kantorovich and Quadrature type neural Networks  Univariate Error Function Based Neural Network Approximations  Multivariate Error Function Based Neural Network Operators Approximation  Asymptotic Expansions for Error Function Based Neural Networks  Fuzzy Fractional Error Function Relied Neural Network Approximations  Multivariate Fuzzy Approximation by Neural Networks  FuzzyRandom Error Function Relied Neural Network Approximations  Approximation by Perturbed Neural Networks  Approximations by Multivariate Perturbed Neural Networks  Voronovskaya type Asymptotic Expansions for Perturbed Neural Networks  Approximation using Fuzzy Perturbed Neural Networks  Multivariate Fuzzy Perturbed Neural Network Approximations  Multivariate FuzzyRandom Perturbed Neural Network Approximations

653 


a Computational intelligence

653 


a Artificial Intelligence

653 


a Computational Intelligence

653 


a Artificial intelligence

041 
0 
7 
a eng
2 ISO 6392

989 


b Springer
a Springer eBooks 2005

490 
0 

a Studies in Computational Intelligence

028 
5 
0 
a 10.1007/9783319205052

856 
4 
0 
u https://doi.org/10.1007/9783319205052?nosfx=y
x Verlag
3 Volltext

082 
0 

a 006.3

520 


a This monograph is the continuation and completion of the monograph, “Intelligent Systems: Approximation by Artificial Neural Networks” written by the same author and published 2011 by Springer. The book you hold in hand presents the complete recent and original work of the author in approximation by neural networks. Chapters are written in a selfcontained style and can be read independently. Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The book’s results are expected to find applications in many areas of applied mathematics, computer science and engineering. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science and engineering libraries.
