Open access peer-reviewed Edited Volume

Artificial Neural Networks

Architectures and Applications

Edited by Kenji Suzuki

University of Chicago, United States of America

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks. The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies.

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Artificial Neural NetworksArchitectures and ApplicationsEdited by Kenji Suzuki

Published: January 16th 2013

DOI: 10.5772/3409

ISBN: 978-953-51-0935-8

eBook (PDF) ISBN: 978-953-51-5715-1

Copyright year: 2013

Books open for chapter submissions

34796 Total Chapter Downloads

21 Crossref Citations

91 Web of Science Citations

59 Dimensions Citations


Open access peer-reviewed

1. Improved Kohonen Feature Map Probabilistic Associative Memory Based on Weights Distribution

By Shingo Noguchi and Osana Yuko


Open access peer-reviewed

2. Biologically Plausible Artificial Neural Networks

By João Luís Garcia Rosa


Open access peer-reviewed

3. Weight Changes for Learning Mechanisms in Two-Term Back-Propagation Network

By Siti Mariyam Shamsuddin, Ashraf Osman Ibrahim and Citra Ramadhena


Open access peer-reviewed

4. Robust Design of Artificial Neural Networks Methodology in Neutron Spectrometry

By José Manuel Ortiz-Rodríguez, Ma. del Rosario Martínez-Blanco, José Manuel Cervantes Viramontes and Héctor René Vega-Carrillo


Open access peer-reviewed

5. Comparison Between an Artificial Neural Network and Logistic Regression in Predicting Long Term Kidney Transplantation Outcome

By Giovanni Caocci, Roberto Baccoli, Roberto Littera, Sandro Orrù, Carlo Carcassi and Giorgio La Nasa


Open access peer-reviewed

6. Edge Detection in Biomedical Images Using Self-Organizing Maps

By Lucie Gráfová, Jan Mareš, Aleš Procházka and Pavel Konopásek


Open access peer-reviewed

7. MLP and ANFIS Applied to the Prediction of Hole Diameters in the Drilling Process

By Thiago M. Geronimo, Carlos E. D. Cruz, Fernando de Souza Campos, Paulo R. Aguiar and Eduardo C. Bianchi


Open access peer-reviewed

8. Integrating Modularity and Reconfigurability for Perfect Implementation of Neural Networks

By Hazem M. El-Bakry


Open access peer-reviewed

9. Applying Artificial Neural Network Hadron - Hadron Collisions at LHC

By Amr Radi and Samy K. Hindawi


Open access peer-reviewed

10. Applications of Artificial Neural Networks in Chemical Problems

By Vinícius Gonçalves Maltarollo, Káthia Maria Honório and Albérico Borges Ferreira da Silva


Open access peer-reviewed

11. Recurrent Neural Network Based Approach for Solving Groundwater Hydrology Problems

By Ivan N. da Silva, José Ângelo Cagnon and Nilton José Saggioro


Open access peer-reviewed

12. Use of Artificial Neural Networks to Predict The Business Success or Failure of Start-Up Firms

By Francisco Garcia Fernandez, Ignacio Soret Los Santos, Javier Lopez Martinez, Santiago Izquierdo Izquierdo and Francisco Llamazares Redondo


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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