NCTA: International Conference on Neural Computation Theory and Applications



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Event When Where Deadline
NCTA 2012 4th International Conference on Neural Computation Theory and Applications
Oct 5, 2012 - Oct 7, 2012 Barcelona, Spain May 7, 2012
NCTA 2011 NCTA- International Conference on Neural Computation Theory and Applications
Oct 24, 2011 - Oct 26, 2011 Paris, France May 12, 2011

Present CFP : 2012

Neural computation and artificial neural networks have seen an explosion of interest over the last few years, and are being successfully applied across an extraordinary range of problem domains, in areas as diverse as finance, medicine, engineering, geology and physics, in problems of complex dynamics and complex behavior prediction, classification or control. Several architectures, learning strategies and algorithms have been introduced in this highly dynamic field in the last couple of decades. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of neural computing systems, both theoretically and in a broad range of application fields.

Conference Topics

■Adaptive architectures and mechanisms
■Artificial Emotions and Emotional Intelligence
■Bio-inspired and humanoid robotics
■Collective & Distributed Intelligent Systems and Dynamics
■Complex artificial neural network based systems and dynamics
■Complex-valued neural networks
■Computational neuroscience
■Higher level artificial neural network based intelligent systems
■Image Processing and Artificial Vision Applications
■Industrial, financial and medical applications
■Intelligent Artificial Perception and Neural Sensors
■Learning paradigms and algorithms
■Modular Implementation of Artificial Neural Networks
■Neural based Data Mining and Complex Information Processing
■Neural network software and applications
■Neural Network Hardware Implementation and Applications
■Neural Multi-agent Intelligent Systems and Applications
■Neuroinformatics and bioinformatics
■Pattern Recognition
■Self-organization and Emergence
■Stability and Instability in Artificial Neural Networks
■Neural Computation issues in Social Behaviour Emergence
■Supervised and unsupervised learning
■Support Vector Machines and Applications

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