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IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. Topics of interest include but are not restricted to: * Connectionist methods in cognitive science and cognitive modeling (language, reasoning,perception, learning, consciousness,emotion, etc.) * Computational neuroscience * Neuro-technologies and neuro-engineering,brain-machine interfaces * Cognitive robotics, developmental robotics and neural robotics * Data mining and pattern recognition * Signal processing and time series analysis * Image processing and machine vision * Neurocontrol * Neuroinformatics and bioinformatics * Hybrid neural-symbolic, neuro-fuzzy,neuro-evolutionary systems, neuro-swarm, neural dynamic logic and other methods * Connectionist methods of emergent intelligence * Bayesian models and statistical machine learning methods * Support vector machines and Kernel methods * Learning methods: supervised, unsupervised and reinforcement * Adaptive dynamic programming and neurodynamic optimization * Neural dynamics, complex systems, and chaos * Hardware implementations of neural networks, neuromorphic engineering * Intelligent tools and methods (expert systems, embedded systems, data mining, multi-agent systems) * Real world applications of neural networks (games, finance, social systems, biomedical, power systems, telecommunication,defense, manufacturing) [[Category:Artificial neural network]] [[Category:Artificial intelligence]]
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