Artificial Neural Networks

A Practical Course

  • Ivan Nunes da Silva
  • Danilo Hernane Spatti
  • Rogerio Andrade Flauzino
  • Luisa Helena Bartocci Liboni
  • Silas Franco dos Reis Alves

Table of contents

  1. Front Matter
    Pages i-xx
  2. Architectures of Artificial Neural Networks and Their Theoretical Aspects

    1. Front Matter
      Pages 1-1
    2. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 3-19
    3. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 21-28
    4. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 29-40
    5. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 41-54
    6. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 55-115
    7. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 117-138
    8. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 139-155
    9. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 157-172
    10. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 173-187
    11. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 189-206
  3. Application of Artificial Neural Networks in Engineering and Applied Science Problems

    1. Front Matter
      Pages 207-207
    2. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 209-213
    3. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 215-219
    4. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 221-227
    5. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 229-233
    6. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 235-239
    7. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 241-246
    8. Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
      Pages 247-252

About this book

Introduction

This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental techniques to specify the neural network architecture that is most appropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals.

Keywords

Neural Networks Architectures Architectures of Artificial Neural Networks Perceptron Network Adaline Network Self-Organizing Maps Learning Vector Quantization (LVQ) Adaptive Resonance Theory (ART) Artificial Neural Networks Applications Computer Network Traffic Analysis

Authors and affiliations

  • Ivan Nunes da Silva
    • 1
  • Danilo Hernane Spatti
    • 2
  • Rogerio Andrade Flauzino
    • 3
  • Luisa Helena Bartocci Liboni
    • 4
  • Silas Franco dos Reis Alves
    • 5
  1. 1.DEPT OF ELECT & COMP ENGUNIV OD SAO PAULO-USP/EESC/SEL DEPT OF ELECT & COMP ENGSAO CARLO, SPBrazil
  2. 2.Dept of Electrical & Comp. EngineeringUniversity of Sao Paulo – USP/EESC/SEL Dept of Electrical & Comp. EngineeringSao CarlosBrazil
  3. 3.Dept of Electrical & Comp EngineeringUniversity of Sao Paulo – USP/EESC/SEL Dept of Electrical & Comp EngineeringSao CarlosBrazil
  4. 4.Dep of Electrical and Comp. EngineeringUniversity of Sao Paulo – USP/EESC/SEL Dep of Electrical and Comp. EngineeringSao CarlosBrazil
  5. 5.Dept of Electrical and Comp EngineeringUniversity of Sao Paulo – USP/EESC/SEL Dept of Electrical and Comp EngineeringSao CarlosBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-43162-8
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-43161-1
  • Online ISBN 978-3-319-43162-8
  • About this book