IFSA 2007 World Congress

Cancun, Mexico, June 18-21, 2007

SPECIAL SESSION: 14SS

Hybrid Intelligent Systems

ORGANIZERS: Eduardo Gomez-Ramirez, Patricia Melin, and Oscar Castillo

SCOPE: This Special Session is being organized as one of the activities of the Task Force on Hybrid Intelligent Systems 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. 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. 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. In this Special Session, an overview of SC methodologies, and their applications to modeling, simulation and control, will be given in an introductory paper by the Organizers. Then, detailed methods for integrating the different SC methodologies and neural networks in solving real-world problems will be given in the papers by the other authors in the Special Session. The Special Session will include applications on the following areas: Robotic Dynamic Systems, Non-linear Plants, Manufacturing Systems, 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.

Format and Submission Procedure

Papers must be send by email, by the prospective authors, to the Organizers. The papers must be send as a PDF or word attachment with their email message. The papers will then be distributed to the Reviewers for evaluation according to their originality, technical soundness, writing, etc. (At least two reviewers per paper). Based on the evaluations by the reviewers, the Organizers will select the Best papers for the Special Session. Notifications of acceptance or rejection will then be send to the authors by email. The authors of accepted papers would then be asked to send their final papers in the appropriate format and also giving careful consideration to the comments and suggestions made by the reviewers.

Important Dates

Paper Submission deadline:               December 11th,, 2006

Revised final manuscript due date:   February 8th, 2007

Conference:                                           June 18-21, 2007

Contact information:

Prof Eduardo Gomez, Prof. Patricia Melin, and Prof. Oscar Castillo

Emails: [email-masked]   [email-masked]: [email-masked]