IEEE WCCI 2014 - IEEE WCCI 2014 - IJCNN2014 Special Session NN29 Advances, Applications and practical implementations of Neuro-Fuzzy systems

IEEE WCCI 2014 - IJCNN2014
NN29 Advances, Applications and practical implementations of Neuro-Fuzzy systems
This session is organized as a part of 2014 IEEE World Congress on Computational Intelligence
(WCCI), 06 - 11 Jul 2014, Beijing, China
Session Chairs:
Ahmad Taher Azar, PhD, IEEE - Senior Member
Assistant Professor, Faculty of Computers and Information, Benha University, Egypt;
Email: ahmad.azar-AT-fci.bu.edu.eg , ahmad_t_azar-AT-ieee.org
Valentina E. Balas, IEEE - Senior Member
Professor PhD Department of Automatics and Applied Informatics Aurel
Vlaicu University of Arad, Romania;
Email: balas-AT-drbalas.ro
Rajeeb Dey, IEEE - Senior Member
Associate Professor Electronics & Communication Engineering Sikkim Manipal
Institute of Technology Majhitar, East-Sikkim, Sikkim - 737136;
Email: rajeeb_de-AT-outlook.com
Abstract:
The Neuro-Fuzzy (NF) method is rather a way to create a fuzzy model from data by some kind of learning method that is motivated by learning procedures used in neural networks. This substantially reduces development time and cost while improving the accuracy of the resulting fuzzy model. Being able to utilize a neural learning algorithm implies that a fuzzy system with linguistic information in its rule base can be updated or adapted using numerical information to gain an even greater advantage over a neural network that cannot make use of linguistic information and behaves as a black-box. Neuro-fuzzy systems have been widely used in many engineering applications related to pattern recognition, intelligent adaptive control, Biomedical Engineering, medicine, Robotics, regression and density estimation, systems, and so on. Some NF systems including for example the adaptive network-based fuzzy inference system (ANFIS), the fuzzy adaptive learning control network (FALCON) and the self-constructing neural fuzzy inference network (SONFIN), are well known. Also, there are several training algorithms that provide different advantages and disadvantages. Most researchers try to employ learning laws that are robust and exhibit fast convergence properties. This area is becoming increasingly important to theoreticians as well as practitioners.
The aim of this special session is provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures and applications of Neuro-fuzzy systems.
Subject Coverage (not limited to):
- Artificial neural networks
- Fuzzy logic
- Neural and fuzzy signal/image processing for industrial and environmental applications
- Neural Network-based adaptive system identification
- Neural Network-based adaptive control
- Fuzzy-Neural and Hybrid schemes in adaptive estimation and control
- Recurrent Neural and Neuro-Fuzzy networks
- New training algorithms in neuro, fuzzy systems
- Neuro-Fuzzy classifiers
- Type-2 Neuro-Fuzzy systems
- Neuro-fuzzy technologies for medical and bioengineering applications
- Neural, fuzzy and genetic/evolutionary algorithms for system optimization and calibration
- Reliability of fuzzy and neural components
- Applications: Bioinformatics and computational biology, Biomaterials, Telemedicine, tissue engineering, Biomedical imaging, Pattern Recognition and Visualization, Rehabilitation, external support devices, Healthcare information systems.
Full details of the special session can be found at http://www.ieee-wcci2014.org/accepted-ss.htm
Important Deadlines
? Paper submission deadline: January 20, 2014
? Paper acceptance notification date: March 15, 2014
? Final paper submission deadline: April 15, 2014
? Early registration: April 15, 2014
? Conference Date: July 6 ? 11 2014
Information for Authors
1) Information on the format and templates for papers can be found here:
http://www.ieee-wcci2014.org/Paper%20Submission.ht...
2) Papers should be submitted via the IJCNN 2014 paper submission site:
http://ieee-cis.org/conferences/ijcnn2014/upload.p...
3) Select the Special Session name in the Main Research topic dropdown list
4) Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of January 20, 2014.