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2016 IEEE International Joint Conference on Neural Networks part of WCCI |
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Vancouver, Canada July 25-29, 2016, IJCNN’2016 |
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Special Session Hybrid Neural Intelligent Systems |
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Organized by: Prof. Patricia Melin,
Description This Special Session is being organized as one of the main activities of the Task Force on Hybrid Intelligent Systems of the NNTC and will consist of papers that integrate different Soft Computing (SC) methodologies for the development of hybrid neural intelligent systems for modeling, simulation and control of non-linear dynamical systems. The goal of the special session is to promote research on hybrid neural systems all over the world, and researchers working on this area are welcome to submit their papers. SC methodologies at the moment include (at least) Neural Networks, Fuzzy Logic, Genetic Algorithms and Chaos Theory. Each of these methodologies has advantages and disadvantages and many problems have been solved, by using one of these methodologies. Hybrid models offer advantages when a prudent combination of methods is performed and in this case can be a powerful tool in solving complex problems. However, many real-world complex industrial problems require the integration of several of these methodologies to really achieve the efficiency and accuracy needed in practice. This session will include papers dealing with methods for integrating the different SC methodologies and neural networks in solving real-world problems. The Special Session will consider applications on the following areas: Robotic Dynamic Systems, Non-linear Plants, Manufacturing Systems, Pattern Recognition and Time Series Prediction. Topics of interest (not limited to) 1. Successful new applications to real-world problems of neural networks and soft computing techniques that are found to achieve better results than conventional techniques. In this case, special attention should be given to the metrics used to compare SC techniques with conventional ones. 2. Developments of innovative hybrid methods combining neural networks with SC techniques and conventional techniques to solve problems related to modeling, simulation and control of non-linear dynamical systems. In this case, the problems to be considered in these papers may not be as complex as the ones in the previous point, but the authors have to explain very carefully how their proposed method could be used, in the future, to solve real-world problems. 3. Papers considering original research on new neural network techniques are also welcome, but the authors would have to make a detailed description of how their proposed approach is compared with other related techniques.
BRIEF CVs
Patricia Melin. She holds the Doctor in Science degree (Doctor Habilitatus D.Sc.) in Computer Science from the Polish Academy of Sciences (with the Dissertation “Hybrid Intelligent Systems for Pattern Recognition using Soft Computing”). She is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico, since 1998. In addition, she is serving as Director of Graduate Studies in Computer Science and head of the research group on Computational Intelligence (2000-present). Currently, she is President of HAFSA (Hispanic American Fuzzy Systems Association) and Presidente Elect of NAFIPS 2014-2016. She was also Program Chair of the IFSA 2007 World Congress held in Cancun, Mexico. Prof. Melin is the founding Chair of the Mexican Chapter of the IEEE Computational Intelligence Society. She was Vice Chair of the IEEE Neural Network Technical Committee (2007), she also belongs to the IEEE CIS Educational Committee, the Committee of Women in Computational Intelligence of the IEEE and to the New York Academy of Sciences. She is member of NAFIPS, IFSA, and senior member of IEEE. She belongs to the Mexican Research System with level III. Her research interests are in Type-2 Fuzzy Logic, Modular Neural Networks, Pattern Recognition, Fuzzy Control, Neuro-Fuzzy and Genetic-Fuzzy hybrid approaches. She has published over 100 journal papers, 5 authored books, 12 edited books, and 200 papers in conference proceedings. Web page: www.hafsamx.org/melin
Program Committee: Oscar Castillo, Tijuana Institute of Technology, ocastillo@tectijuana.mx Patricia Melin, Tijuana Institute of Technology, pmelin@tectijuana.mx Witold Pedrycz, University of Alberta, Edmonton, wpedrycz@ee.ua.ca Valdik Kreinovich, University of El Paso, Texas, vladik@utep.edu Janusz Kacprzyk, Polish Academy of Sciences, kacprzyk@ibspan.waw.pl Ieroham Baruch, CINVESTAV Mexico, baruch@ctrl.cinvestav.mx Eduardo Gomez, University of La Salle, Mexico, egr2@ulsa.edu Fevrier Valdez, Tijuana Institute of Technology, fevrier@tectijuana.mx Juan R. Castro, UABC University, jrcastror@uabc.edu.mx Olivia Mendoza, UABC University, omendoza@uabc.edu.mx Mario Chacon, Chihuahua Institute of Technology, mchacon@ieee.org
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