Intelligent Systems: From Theory to Practice

Herausgegeben:Sgurev, Vassil; Hadjiski, Mincho

• Gebundenes Buch

Produktbeschreibung

As well as a selection of extended peer-reviewed papers from the 4th International IEEE Conference on Intelligent Systems, this volume is complemented by relevant work from leading figures who did not attend, and covers virtually all aspects of IS development.

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In the modern science and technology there are some research directions and ch- lenges which are at the forefront of world wide research activities because of their relevance. This relevance may be related to different aspects. First, from a point of view of researchers it can be implied by just an analytic or algorithmic difficulty in the solution of problems within an area. From a broader perspective, this re- vance can be related to how important problems and challenges in a particular area are to society, corporate or national competitiveness, etc. Needless to say that the latter, more global challenges are probably more decisive a driving force for s- ence seen from a global perspective. One of such "meta-challenges" in the present world is that of intelligent s- tems. For a long time it has been obvious that the complexity of our world and the speed of changes we face in virtually all processes that have impact on our life imply a need to automate many tasks and processes that have been so far limited to human beings because they require some sort of intelligence.

Produktdetails

• Studies in Computational Intelligence 299
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 80015371, 978-3-642-13427-2
• 2010
• Seitenzahl: 592
• Erscheinungstermin: 27. August 2010
• Englisch
• Abmessung: 241mm x 160mm x 41mm
• Gewicht: 1170g
• ISBN-13: 9783642134272
• ISBN-10: 3642134270
• Artikelnr.: 29728726

Inhaltsangabe

Tagging and Fuzzy Sets.- Intelligent Control of Uncertain Complex Systems by Adaptation of Fuzzy Ontologies.- NEtwork Digest Analysis Driven by Association Rule Discoverers.- Group Classification of Objects with Qualitative Attributes: Multiset Approach.- Empirical Evaluation of Selected Algorithms for Complexity-Based Classification of Software Modules and a New Model.- A System Approach to Agent Negotiation and Learning.- An Application of Mean Shift and Adaptive Control to Active Face Tracking.- Time Accounting Artificial Neural Networks for Biochemical Process Models.- Decentralized Adaptive Soft Computing Control of Distributed Parameter Bioprocess Plant.- Effective Mutation Operator and Parallel Processing for Nurse Scheduling.- Case Studies for Genetic Algorithms in System Identification Tasks.- Range Statistics and Suppressing Snowflakes Detects for Laser Range Finders in Snowfall.- Situational Modelling for Structural Dynamics Control of Industry-Business Processes and Supply Chains.- Computational Study of Non-linear Great Deluge for University Course Timetabling.- Entropy Operator in Macrosystem Modeling.- Generalized Net Model for Parallel Optimization of Feed-Forward Neural Network with Variable Learning Rate Backpropagation Algorithm with Time Limit.- Towards a Model of the Digital University: A Generalized Net Model for Producing Course Timetables and for Evaluating the Quality of Subjects.- Intuitionistic Fuzzy Data Quality Attribute Model and Aggregation of Data Quality Measurements.- Redundancy Detection and Removal Tool for Transparent Mamdani Systems.- Optimization of Linear Objective Function under Fuzzy Equation Constraint in BL?? Algebras - Theory, Algorithm and Software.- Electric Generator Automation and Protection System Fuzzy SafetyAnalysis.- A Multi-purpose Time Series Data Standardization Method.- Classification of Coronary Damage in Chronic Chagasic Patients.- Action-Planning and Execution from Multimodal Cues: An Integrated Cognitive Model for Artificial Autonomous Systems.- Design of a Fuzzy Adaptive Controller for Uncertain Nonlinear Systems with Dead-Zone and Unknown Control Direction.- An Approach for the Development of a Context-Aware and Adaptive eLearning Middleware.- New Strategies Based on Multithreading Methodology in Implementing Ant Colony Optimization Schemes for Improving Resource Management in Large Scale Wireless Communication Systems.