Intelligent Systems II: Complete Approximation by Neural Network Operators

  • George A. Anastassiou

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

Table of contents

  1. Front Matter
    Pages i-xv
  2. George A. Anastassiou
    Pages 23-58

About this book

Introduction

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.

 

Keywords

Artificial Intelligence Artificial Neural Networks Computational Intelligence Intelligent Systems Neural Networks

Authors and affiliations

  • George A. Anastassiou
    • 1
  1. 1.Department of Mathematical SciencesUniversity of MemphisMemphisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-20505-2
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-20504-5
  • Online ISBN 978-3-319-20505-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book