The 7th International Conference on Natural Computation (ICNC'11) and the 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'11) will be jointly held from 26-28 July 2011, in Shanghai, China. Shanghai is the largest city in China, with famous historical and cultural heritage. Attractions include Yuyuan Garden ("Happy Garden" built in Ming Dynasty), Shanghai Museum with 120,000 pieces of rare relics, Shanghai World Financial Center, Jade Buddha Temple (Song Dynasty), Oriental Pearl TV Tower, Zhujiajiao Water Town, and Expo 2010 site.

All papers in conference proceedings will be indexed by both EI Compendex and ISTP, as well as the IEEE Xplore (IEEE Conference Record Number for ICNC’11: 18082; IEEE Conference Record Number for FSKD’11: 18083). ICNC-FSKD 2005 to 2010 papers have already been indexed in EI Compendex. Extended versions of selected best papers will appear in an ICNC-FSKD special issue of International Journal of Intelligent Systems, an SCI-indexed journal (Impact Factor: 1.194).

ICNC-FSKD is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computer, control, communication, and more. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Previously, the joint conferences in 2005 through 2010 each attracted over 3000 submissions from around the world. ICNC'11-FSKD'11 is technically co-sponsored by the IEEE Circuits and Systems Society. The registration fee of US$390 includes proceedings, lunches, dinners, banquet, coffee breaks, and all technical sessions.

Submissions of papers describing original work in, but not limited to, the following topics are encouraged.

Neural Computation: Learning algorithms, Neural network architectures, Feed forward & recurrent networks, Neurodynamics, Statistical neural network models, Cellular neural networks, Support vector machines, Principal and independent component analysis, Self-organizing maps.

Cognitive Science: NNeurobiological systems, Perception, Emotion, Cognition, Selective attention, Vision and auditory models.

Evolutionary Computation: Genetic and evolutionary algorithms, Ant colony optimization, Particle swarm optimization, Multi-objective optimization, Artificial life, Evolutionary intelligent agents, Artificial Immune systems.

Other Types in Natural computation: Quantum computing, Molecular & DNA computing, Bayesian network, Membrane computing.