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Trade Show Directory:  Beijing:  International Conference on Artificial Intelligence and Neural Networks 2009

International Conference on Artificial Intelligence and Neural Networks 2009

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Start Date 08-08-2009 End Date11-08-2009
Venue Campus of Beijing Technology and Business University
City Beijing Country China
Category Science & Technology

Event Profile
International Conference on Artificial Intelligence and Neural Networks 2009 (ICAINN 2009), organized by International Association of Computer Science and Information Technology, aims to bring together the researchers, scientists, engineers, and scholar students from all areas of Artificial Intelligence and Neural Networks. The conference is the meeting point for the experts to discuss and disseminate original research results, new ideas and practical development experiences concentrating on both theory and practices. The conference enhances the knowledge by focusing on topics from the Artificial Intelligence and Neural Networks subjects. There is wide range of topics available and some of them are:
1. Artificial Intelligence
  • Brain models / cognitive science
  • Natural language processing
  • Fuzzy logic and soft computing
  • Software tools for AI
  • Expert systems
  • Decision support systems
  • Automated problem solving
  • Knowledge discovery
  • Knowledge representation
  • Knowledge acquisition
  • Knowledge-intensive problem solving techniques
  • Knowledge networks and management
  • Intelligent information systems
  • Intelligent data mining and farming
  • Intelligent web-based business
  • Intelligent agents
  • Intelligent networks
  • Intelligent databases
  • Intelligent user interface
  • AI and evolutionary algorithms
  • Intelligent tutoring systems
  • Reasoning strategies
  • Distributed AI algorithms and techniques
  • Distributed AI systems and architectures
  • Neural networks and applications
  • Heuristic searching methods
  • Languages and programming techniques for AI
  • Constraint-based reasoning and constraint programming
  • Intelligent information fusion
  • Learning and adaptive sensor fusion
  • Search and meta-heuristics
  • Multisensor data fusion using neural and fuzzy techniques
  • Integration of AI with other technologies
  • Evaluation of AI tools
  • Social intelligence (markets and computational societies)
  • Social impact of AI
  • Emerging technologies
  • Applications (including: computer vision, signal processing, military, surveillance, robotics, medicine, pattern recognition, face recognition, finger print recognition, finance and marketing, stock market, education, emerging applications)
2. Neural Networks
  • Neural Networks
  • Associative memories
  • Autonomous mental development
  • Bayesian networks
  • Blind source separation
  • Brain computer interface
  • Brain Imaging and neural information processing
  • Computational intelligence
  • Computational neuroscience
  • Connectionist cognitive science
  • Connectionist theory and cognitive science
  • Data analysis
  • Data mining
  • Embedded neural systems
  • Emerging areas
  • Evolutionary computation
  • Graphical network models
  • Hardware implementations and embedded systems
  • Hybrid intelligent systems
  • Hybrid systems
  • Image and signal processing
  • Image processing
  • Inductive modeling
  • Intelligent multimedia
  • Intrusion detection and fault diagnosis
  • Learning algorithms
  • Mathematical modeling of neural systems
  • Mathematical theory of computing
  • Nature inspired computation
  • Neural and hybrid architectures
  • Neural control, planning and robotics applications
  • Neural dynamics and complex systems
  • Neurodynamic analysis
  • Neurodynamic optimization and adaptive dynamic programming
  • Neuroinformatics and bioinformatics
  • Pattern recognition
  • Principal and independent component analysis
  • Probabilistic and information-theoretic methods
  • Real world systems
  • Real-world applications
  • Robotic and control applications
  • Self-organization
  • Signal and time series processing
  • Supervised, unsupervised and reinforcement learning
  • Support vector machines and kernel methods
  • Telecommunications
  • Time series analysis
  • Transportation systems 


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