Connectionists: IEEE Symp on Foundations of Computational Intelligence

[Francisco J. Veredas]

IEEE Symp on Foundations of Computational Intelligence
April 11 – 15, 2011
Paris, France

Call for Papers


Paris hosts the third IEEE Symposium Series on Computational
Intelligence (IEEE SSCI 2011). This international event brings together
at one location several symposia running concurrently, each highlighting
various aspects of computational intelligence, and will attract top
researchers,
practitioners, and students from around the world to discuss the latest
advances in the field of computational intelligence. Computational
intelligence techniques have proven useful after numerous applications
in real world problems. However, there is much work to be done in order
to fully understand the theoretical foundations of such techniques. IEEE
FOCI'11, provides an ideal forum for those who are interested in the
fundamental issues of computational intelligence to exchange their ideas
and present their latest findings.

IEEE FOCI’11 will focus on fundamental theoretical and practical
foundations of computational intelligence, including but not limited to
neural networks, fuzzy logic, evolutionary computation, and other
machine learning methods. The symposium will put equal emphasis on
theoretical and
practical work as long as it addresses the foundations of computational
intelligence.

IMPORTANT DATES:
Paper Submission: Oct 31, 2010
Notification to Authors: Dec 15, 2010
Camera-Ready Papers: Jan 15, 2011

Non-exclusive list of topics
• Non-standard fuzzy sets
• Granular computing
• Computing with words
• Aggregation/fusion
• Fuzzy sets and statistics
• Uncertainty
• Decision-making
• General theoretical issues
• Generalisation in learning (neural, fuzzy, evol.)
• Fuzzy logic and fuzzy set theory
• Lattice theory and multi-valued logic
• Approximate reasoning
• Type-2 fuzzy logic
• Rough sets and random sets
• Fuzzy mathematics
• Fuzzy measure and integral
• Possibility theory and imprecise probability
• Neural computation
• Self-organizing maps
• Recurrent networks
• Multilayer perceptrons
• Recursive deterministic perceptrons
• Evolutionary neural networks
• Neural networks for pattern recognition
• Neural netwoks for prediction and optimization
• Neural networks for principal component anal.
• General regression neural networks
• Neural networks as/and fuzzy systems
• Radial basis functions
• Learning theory
• Reinforcement learning
• Generalization in neural networks
• Theory of Evolutionary Computation
• Methodolgical and Algorithmic Issues in EC
• Memetic Algorithms
• Hybridization and Cross-fertilization
• Parallel Evolutionary Computation
• Large-scale Evolutionary Optimization
• Multi-objective evolutionary optimization
• Interactive evolutionary computation
• Swarm Intelligence
• Statistical Analysis and Comparison of Evolutionary Algorithms and
Other Approaches

Honorary Chair: Lotfi Zadeh

Programme Chairs:
Carlos Cotta, U. Málaga
Manuel Ojeda-Aciego, U. Málaga
Francisco Veredas, U. Málaga


Please visit www.ieee-ssci.org for submission information and additional
details.

-- 
Francisco J. Veredas
Dpto. Lenguajes y Ciencias de la Computación
ETSI de Telecomunicación
Universidad de Málaga
Bulevar de Louis Pasteur, s/n
29071, Málaga, Spain