Intelligent Systems II: Complete Approximation by Neural Network Operators 1st Edition George A. Anastassiou 3319205056 9783319205052

This completed downloadable of Intelligent Systems II: Complete Approximation by Neural Network Operators 1st Edition George A. Anastassiou 

Instant downloaded Intelligent Systems II: Complete Approximation by Neural Network Operators 1st Edition George A. Anastassiou pdf docx epub after payment.

Product details:

• ISBN 10: 3319205056
• ISBN 13: 9783319205052
• Author: George A. Anastassiou

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 self-contained 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.

Table of contents:

1. Rate of Convergence of Basic Neural Network Operators to the Unit-Univariate Case

2. Rate of Convergence of Basic Multivariate Neural Network Operators to the Unit

3. Fractional Neural Network Operators Approximation

4. Fractional Approximation Using Cardaliaguet-Euvrard and Squashing Neural Networks

5. Fractional Voronovskaya Type Asymptotic Expansions for Quasi-interpolation Neural Networks

6. Voronovskaya Type Asymptotic Expansions for Multivariate Quasi-interpolation Neural Networks

7. Fractional Approximation by Normalized Bell and Squashing Type Neural Networks

8. Fractional Voronovskaya Type Asymptotic Expansions for Bell and Squashing Type Neural Networks

9. Multivariate Voronovskaya Type Asymptotic Expansions for Normalized Bell and Squashing Type Neural Networks

10. Multivariate Fuzzy-Random Normalized Neural Network Approximation

11. Fuzzy Fractional Approximations by Fuzzy Normalized Bell and Squashing Type Neural Networks

12. Fuzzy Fractional Neural Network Approximation Using Fuzzy Quasi-interpolation Operators

13. Higher Order Multivariate Fuzzy Approximation Using Basic Neural Network Operators

14. High Order Multivariate Fuzzy Approximation Using Quasi-interpolation Neural Networks

15. Multivariate Fuzzy-Random Quasi-interpolation Neural Networks Approximation

16. Approximation by Kantorovich and Quadrature Type Quasi-interpolation Neural Networks

17. Univariate Error Function Based Neural Network Approximations

18. Multivariate Error Function Based Neural Network Operators Approximation

19. Voronovskaya Type Asymptotic Expansions for Error Function Based Quasi-interpolation Neural Networks

20. Fuzzy Fractional Error Function Relied Neural Network Approximations

21. High Degree Multivariate Fuzzy Approximation by Neural Network Operators Using the Error Function

22. Multivariate Fuzzy-Random Error Function Relied Neural Network Approximations

23. Approximation by Perturbed Neural Networks

24. Approximations by Multivariate Perturbed Neural Networks

25. Voronovskaya Type Asymptotic Expansions for Perturbed Neural Networks

26. Approximation Using Fuzzy Perturbed Neural Networks

27. Multivariate Fuzzy Perturbed Neural Network Approximations

28. Multivariate Fuzzy-Random Perturbed Neural Network Approximations

People also search:

intelligent systems with applications

intelligent systems with applications scimago

intelligent systems with applications letpub

intelligent systems with applications是几区

intelligent systems with applications影响因子