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Intelligent Systems: From Theory to Practice 2010 ed. [Kietas viršelis]

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  • Formatas: Hardback, 580 pages, aukštis x plotis: 235x155 mm, weight: 1153 g, XII, 580 p., 1 Hardback
  • Serija: Studies in Computational Intelligence 299
  • Išleidimo metai: 27-Aug-2010
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642134270
  • ISBN-13: 9783642134272
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 580 pages, aukštis x plotis: 235x155 mm, weight: 1153 g, XII, 580 p., 1 Hardback
  • Serija: Studies in Computational Intelligence 299
  • Išleidimo metai: 27-Aug-2010
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642134270
  • ISBN-13: 9783642134272
Kitos knygos pagal šią temą:

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.



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.
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.