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This book is indexed in
Computer and Information Science » Numerical Analysis and Scientific Computing
Recurrent Neural Networks and Soft Computing
Edited by Mahmoud ElHefnawi and Mohamed Mysara, ISBN 978-953-51-0409-4, Hard cover, 290 pages, Publisher: InTech, Chapters published March 30, 2012 under CC BY 3.0 license
DOI: 10.5772/2296
- Chapter 1
Neural Networks and Static Modelling - Chapter 2
A Framework for Bridging the Gap Between Symbolic and Non-Symbolic AI - Chapter 3
Ranking Indices for Fuzzy Numbers - Chapter 4
Neuro-Fuzzy Digital Filter - Chapter 5
Recurrent Neural Network with Human Simulator Based Virtual Reality - Chapter 6
Recurrent Neural Network-Based Adaptive Controller Design For Nonlinear Dynamical Systems - Chapter 7
BRNN-SVM: Increasing the Strength of Domain Signal to Improve Protein Domain Prediction Accuracy - Chapter 8
Recurrent Self-Organizing Map for Severe Weather Patterns Recognition - Chapter 9
Centralized Distributed Parameter Bioprocess Identification and I-Term Control Using Recurrent Neural Network Model - Chapter 10
Optimization of Mapping Graphs of Parallel Programs Onto Graphs of Distributed Computer Systems by Recurrent Neural Network - Chapter 11
Detection and Classification of Adult and Fetal ECG Using Recurrent Neural Networks, Embedded Volterra and Higher-Order Statistics - Chapter 12
Artificial Intelligence Techniques Applied to Electromagnetic Interference Problems Between Power Lines and Metal Pipelines - Chapter 13
An Application of Jordan Pi-Sigma Neural Network for the Prediction of Temperature Time Series Signal
