Intelligent Systems: From Theory to Practice by Vassil SgurevIntelligent Systems: From Theory to Practice by Vassil Sgurev

Intelligent Systems: From Theory to Practice

EditorVassil Sgurev, Mincho Hadjiski

Paperback | November 20, 2014

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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.
Title:Intelligent Systems: From Theory to PracticeFormat:PaperbackPublished:November 20, 2014Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642422365

ISBN - 13:9783642422362

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Table of Contents

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 Safety Analysis.- 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.