Knowledge-based Intelligent System Advancements: Systemic and Cybernetic Approaches
IGI Global Snippet, 2011 - Computers - 482 pages
Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches presents selected new AI–based ideas and methods for analysis and decision making in intelligent information systems derived using systemic and cybernetic approaches. This book is useful for researchers, practitioners and students interested intelligent information retrieval and processing, machine learning and adaptation, knowledge discovery, applications of fuzzy based methods and neural networks.
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Stochastic LearningBased WeakEstimation and its Applications
On Analogue TMR System
Application of TwoStage Adaptive DecisionMaking System Based onTakagiSugeno Modelfor Scenario Selection inRehabilitation Process
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adaptive control agents algorithm analysis Ant Colony Optimization application approach Artificial Intelligence bilinear calculated chapter classification clusters complex Computer considered constraints control system cooperation Coventry University Cybernetics decision defined denotes developed diagnosis systems distribution domain dynamic enterprise equation error estimation example experiments fault diagnosis feedback Figure fuzzy control fuzzy logic fuzzy model Fuzzy Systems Hybrid Intelligent Diagnosis identification IEEE IEEE Transactions IGI Global impulse industry innovation input International interpolation Journal knowledge knowledge representation linear linguistic mathematical matrix measurement MHR method microwire MLEW model structure neural networks neuro-fuzzy neuron nodes nonlinear obtained operator optimal control parameters points Poland polynomial possible prediction problem production proposed redundancy reliability robot robust rules scheme sensor signal simulation SLWE solution stochastic suppliers Takagi-Sugeno techniques Technology temporal tion TMR system uncertain University variables vector Wrocław