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Intelligent Systems II: Complete Approximation by Neural Network Operators

  • Book
  • © 2016

Overview

  • Continuation and completion of the author’s earlier 2011 monograph, “Intelligent Systems: Approximation by Artificial Neural Networks”
  • The chapters of the book are self-contained and can be read independently
  • Presents recent original work by the author on approximation by neural networks
  • Includes an extensive list of references per chapter
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 608)

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Table of contents (28 chapters)

Keywords

About this book

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.

 

Reviews

“The present book … contains mainly the research results of the author in recent years. … To each chapter references are added. … The formal presentation by Springer is excellent.” (Claudia Simionescu-Badea, zbMATH, Vol. 1325.68008, 2016)

Authors and Affiliations

  • Department of Mathematical Sciences, University of Memphis, Memphis, USA

    George A. Anastassiou

Bibliographic Information

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