Open access peer-reviewed Edited volume

Recurrent Neural Networks

Co-editor:

The concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. The second part of the book consists of seven chapters, all of which are about system identification and control. The third part of the book is composed of Chapter 11 and Chapter 12, where two interesting RNNs are discussed, respectively.The fourth part of the book comprises four chapters focusing on optimization problems. Doing optimization in a way like the central nerve systems of advanced animals including humans is promising from some viewpoints.

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Recurrent Neural NetworksEdited by Xiaolin Hu

Published: September 1st 2008

ISBN: 978-953-7619-08-4

Books open for chapter submissions

39138 Total Chapter Downloads

5 Crossref Citations

15 Web of Science Citations

17 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Aperiodic (Chaotic) Behavior in RNN with Homeostasis as a Source of Behavior Novelty: Theory and Applications

By Jorge Simão

1595

Open access peer-reviewed

2. Biological Signals Identification by a Dynamic Recurrent Neural Network: from Oculomotor Neural Integrator to Complex Human Movements and Locomotion

By Guy Cheron, Françoise Leurs, Ana Bengoetxea, Ana Maria Cebolla, Jean-Philippe Draye, Pablo D’alcantara and Bernard Dan

1761

Open access peer-reviewed

3. Linguistic Productivity and Recurrent Neural Networks

By Akito Sakurai and Yoshihisa Shinozawa

2641

Open access peer-reviewed

4. Recurrent Neural Network Identification and Adaptive Neural Control of Hydrocarbon Biodegradation Processes

By Ieroham Baruch, Carlos Mariaca-Gaspar and Josefina Barrera-Cortes

1822

Open access peer-reviewed

5. Design of Self-Constructing Recurrent-Neural-Network-Based Adaptive Control

By Chun-Fei Hsu and Chih-Min Lin

2341

Open access peer-reviewed

6. Recurrent Fuzzy Neural Networks and Their Performance Analysis

By R.A. Aliev, B. Fazlollahi, B.G. Guirimov and R.R. Aliev

3440

Open access peer-reviewed

7. Recurrent Interval Type-2 Fuzzy Neural Network Using Asymmetric Membership Functions

By Ching-Hung Lee and Tzu-Wei Hu

2401

Open access peer-reviewed

8. Rollover Control in Heavy Vehicles via Recurrent High Order Neural Networks

By Luis J. Ricalde, Edgar N. Sanchez, Reza Langari and Danial Shahmirzadi

1672

Open access peer-reviewed

9. A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain

By Wu Yilei, Yang Xulei and Song Qing

2405

Open access peer-reviewed

10. Application of Recurrent Neural Networks to Rainfall-runoff Processes

By Tsung-yi Pan, Ru-yih Wang, Jihn-sung Lai and Hwa-lung Yu

1679

Open access peer-reviewed

11. Recurrent Neural Approach for Solving Several Types of Optimization Problems

By Ivan N. da Silva, Wagner C. Amaral, Lucia V. Arruda and Rogerio A. Flauzino

1262

Open access peer-reviewed

12. Applications of Recurrent Neural Networks to Optimization Problems

By Alaeddin Malek

3390

Open access peer-reviewed

13. Neurodynamic Optimization: towards Nonconvexity

By Xiaolin Hu

1702

Open access peer-reviewed

14. An Improved Extremum Seeking Algorithm Based on the Chaotic Annealing Recurrent Neural Network and Its Application

By Yun-an Hu, Bin Zuo and Jing Li

1793

Open access peer-reviewed

15. Stability Results for Uncertain Stochastic High-Order Hopfield Neural Networks with Time Varying Delays

By P. Balasubramaniam and R. Rakkiyappan

1782

Open access peer-reviewed

16. Dynamics of Two-Dimensional Discrete-Time Delayed Hopfield Neural Networks

By Eva Kaslik and Ştefan Balint

1804

Open access peer-reviewed

17. Case Studies for Applications of Elman Recurrent Neural Networks

By Elif Derya Übeyli and Mustafa Übeyli

4054

Open access peer-reviewed

18. Partially Connected Locally Recurrent Probabilistic Neural Networks

By Todor D. Ganchev, Konstantinos E. Parsopoulos, Michael N. Vrahatis and Nikos D. Fakotakis

1594

Edited volume and chapters are indexed in

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

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