Recurrent Neural Networks and Soft Computing

302 Pages·5.05 MB·english

by  ElHefnawi M.

RECURRENT NEURAL
NETWORKS AND
SOFT COMPUTING

Edited by Mahmoud ElHefnawi and
Mohamed Mysara
Recurrent Neural Networks and Soft Computing
Edited by Mahmoud ElHefnawi and Mohamed Mysara

Published by InTech
Janeza Trdine 9, 51000 Rijeka, Croatia

Copyright © 2012 InTech
All chapters are Open Access distributed under the Creative Commons Attribution 3.0
license, which allows users to download, copy and build upon published articles even for
commercial purposes, as long as the author and publisher are properly credited, which
ensures maximum dissemination and a wider impact of our publications. After this work
has been published by InTech, authors have the right to republish it, in whole or part, in
any publication of which they are the author, and to make other personal use of the
work. Any republication, referencing or personal use of the work must explicitly identify
the original source.

As for readers, this license allows users to download, copy and build upon published
chapters even for commercial purposes, as long as the author and publisher are properly
credited, which ensures maximum dissemination and a wider impact of our publications.

Notice
Statements and opinions expressed in the chapters are these of the individual contributors
and not necessarily those of the editors or publisher. No responsibility is accepted for the
accuracy of information contained in the published chapters. The publisher assumes no
responsibility for any damage or injury to persons or property arising out of the use of any
materials, instructions, methods or ideas contained in the book.

Publishing Process Manager Sasa Leporic
Technical Editor Teodora Smiljanic
Cover Designer InTech Design Team

First published March, 2012
Printed in Croatia

A free online edition of this book is available at www.intechopen.com
Additional hard copies can be obtained from [email protected]

Recurrent Neural Networks and Soft Computing,
Edited by Mahmoud ElHefnawi and Mohamed Mysara
p. cm.
ISBN 978-953-51-0409-4

Contents

Part 1 Soft Computing 1
Chapter 1 Neural Networks and Static Modelling 3
Igor Belič
Chapter 2 A Framework for Bridging
the Gap Between Symbolic and Non-Symbolic AI 23
Gehan Abouelseoud and
Amin Shoukry
Chapter 3 Ranking Indices for Fuzzy Numbers 49
Tayebeh Hajjari
Chapter 4 Neuro-Fuzzy Digital Filter 73
José de Jesús Medel,
Juan Carlos García and Juan Carlos Sánchez
Part 2 Recurrent Neural Network 87
Chapter 5 Recurrent Neural Network with
Human Simulator Based Virtual Reality 89
Yousif I. Al Mashhadany
Chapter 6 Recurrent Neural Network-Based Adaptive
Controller Design for Nonlinear Dynamical Systems 115
Hong Wei Ge and Guo Zhen Tan
Chapter 7 BRNN-SVM: Increasing the Strength of Domain
Signal to Improve Protein Domain Prediction Accuracy 133
Kalsum U. Hassan, Razib M. Othman,
Rohayanti Hassan, Hishammuddin Asmuni,
Jumail Taliba and Shahreen Kasim
Chapter 8 Recurrent Self-Organizing Map for
Severe Weather Patterns Recognition 151
José Alberto Sá, Brígida Rocha,
Arthur Almeida and José Ricardo Souza
VI Contents

Chapter 9 Centralized Distributed Parameter
Bioprocess Identification and I-Term
Control Using Recurrent Neural Network Model 175
Ieroham Baruch,
Eloy Echeverria-Saldierna and Rosalba Galvan-Guerra
Chapter 10 Optimization of Mapping Graphs of
Parallel Programs onto Graphs of Distributed
Computer Systems by Recurrent Neural Network 203
Mikhail S. Tarkov
Chapter 11 Detection and Classification of Adult and
Fetal ECG Using Recurrent Neural Networks,
Embedded Volterra and Higher-Order Statistics 225
Walid A. Zgallai
Chapter 12 Artificial Intelligence Techniques
Applied to Electromagnetic Interference
Problems Between Power Lines and Metal Pipelines 253
Dan D. Micu, Georgios C. Christoforidis and Levente Czumbil
Chapter 13 An Application of Jordan Pi-Sigma Neural Network
for the Prediction of Temperature Time Series Signal 275
Rozaida Ghazali, Noor Aida Husaini,
Lokman Hakim Ismail and Noor Azah Samsuddin

Part 1
Soft Computing