-------- Original-Nachricht -------- Betreff: International Seminar on Computational Intelligence 2005 Datum: Mon, 13 Jun 2005 17:38:51 -0500 Von: Eduardo Gomez-Ramirez egr@ci.ulsa.mx Firma: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
Call for Papers
International Seminar on Computational Intelligence 2005 http://www.hafsamx.org/cis-chmexico/seminar05/ Mexico DF, October 17-18, 2005 La Salle University
Description
The International Seminar will consist of papers describing research work that integrate different Computational Intelligence (CI) methodologies for the development of hybrid intelligent systems. CI methodologies at the moment include (at least) Neural Networks, Fuzzy Logic, Genetic Algorithms, Intelligent Agents, and Chaos Theory. The use of intelligent techniques, like neural networks, fuzzy logic and genetic algorithms, for real-world problems is now widely accepted. However, still the performance of any of these techniques can be improved, in many situations, by using them in conjunction with other techniques. For example, genetic algorithms can be used to optimize the design of a neural network for time series prediction, or fuzzy logic can be used to combine the information from expert neural modules, just to mention two cases. Also, mathematical methods, like the ones from Chaos and Fractal Theory, can be used in conjunction with intelligent techniques to improve the performance of hybrid systems for real-world applications. The international seminar will consist of papers addressing these hybrid approaches and similar ones, either theoretically or for real-world applications. Also, distinguished internationally recognized invited speakers will give lectures on the main areas of CI. The seminar is intended primarily for researchers and graduate students working on these research areas.
Topics of interest (not limited to)
1. Successful new applications to real-world problems of CI 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 CI techniques with conventional ones.
2. Developments of innovative hybrid methods combining CI techniques and conventional techniques. 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 CI architectures, models or techniques are also welcome, but the authors would have to make a detailed description of how their proposed approach is compared with other related approaches.
Specific Topics of interest (not limited to)
· Fuzzy Logic Theory
· Fuzzy Control
· Fuzzy Logic in Pattern Recognition
· Type-2 Fuzzy Logic
· Intuitionistic Fuzzy Logic
· Fuzzy Logic Applications
· Neural Networks Theory
· Neural Network Control
· Neural Networks for Prediction
· Neural Networks for Pattern Recognition
· Modular Neural Networks
· Neuro-Fuzzy Models and Applications
· Evolutionary Computing Theory
· Genetic Algorithms for Applications
· Genetic Algorithms for Neural Network Optimization
· Genetic Algorithm for Fuzzy System Optimization
· Genetic Fuzzy Systems
· Genetic Neural Systems
· Neuro-Fuzzy-Genetic Approaches
· Intelligent Agents
· Social Systems
· Swarm Intelligence
· Ant Colonies Algorithms
· Chaos Theory
· Fractal Theory
Distinguished Lecturers
Prof. Dr. Janusz Kacprzyk Director of Research, Polish Academy of Sciences, Warsaw Poland TBA
Prof. Dr. Jacek M. Zurada S.T. Fife Professor of Electr. & Comp. Eng , University of Louisville, USA President, IEEE Computational Intelligence Society Rule Extraction in Data Mining
Plenary Invited Speakers
Prof. Dr. Carlos A. Coello Coello Profesor Investigador, CINVESTAV-IPN Mexico A Short Introduction to Evolutionary Multi-Objective Optimization and its Application
Prof. Dr. Edgar Sanchez Profesor Investigador, CINVESTAV-IPN Guadalajara Discrete Time Recurrent Neural Control
Prof. Dr. Pilar Gomez Gil Profesora Investigadora, Universidad de las Americas-Puebla The Role of Neural Networks in the Interpretation of Antique Hand-written Documents
Format and Submission Procedure
Papers must be send by email, by the prospective authors, to the General Chair and the Program Chairs. The paper must be send as a PDF or word attachment with their email message. Paper submissions must not exceed 8 pages and must be formatted according to instructions given in the web page: http://revista.ci.ulsa.mx/html/criterios_para_autores.html .
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). Notifications of acceptance will then be send to the authors by email. The authors of accepted papers would then be asked to present it at the seminar, and send their registration form by the due date. The Proceedings (In CD form) will be prepared for distribution at the Seminar. Selected papers will be considered, after improvements, for a Special Issue in: http://revista.ci.ulsa.mx/html/editorial.html
Important Dates
Paper Submission deadline: June 30, 2005 Acceptance of papers: July 31st, 2005 Registration: August 26th, 2005 Publication (CD format): October 17th, 2005
Registration
There will be no official cost of registration to the International Seminar, only if the participants want to have the CD Proceedings there will be charge of $10 US Dollars for the proceedings. However, registration is strongly encouraged, as space will be limited to 50 participants in this seminar. Deadline for registration is August 26th, 2005.
Chairs
Prof. Dr. Oscar Castillo, and Prof. Dr. Patricia Melin Dept. of Computer Science, Tijuana Institute of Technology Mexico Emails: ocastillo@tectijuana.mx mailto:ocastillo@tectijuana.mx, and pmelin@tectijuana.mx mailto:pmelin@tectijuana.mx
Prof. Dr. Eduardo Gómez-Ramírez Laboratory of Research and Advance Technology La Salle University, Mexico Email: egr@ci.ulsa.mx mailto:egr@ci.ulsa.mx
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