Hybrid Artificial Intelligent Systems

Name: Hybrid Artificial Intelligent Systems | 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II
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6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II

Emilio Corchado Marek Kurzynski Michal Wozniak(Herausgeber*in)

Springer (Verlag)

Erschienen am 25. Mai 2011

XXIX, 490 Seiten

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978-3-642-21222-2 (ISBN)

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Inhalt

Title Page
Preface
Organization
Table of Contents
Hybrid Intelligent System on Logistics and Intelligent Optimization
Outlier Analysis for Plastic Card Fraud Detection a Hybridized and Multi-Objective Approach
Introduction
Theoretical Framework
Clusters and Outliers
Particle Swarm Optimization (PSO)
Multi-Objective Optimization (MOO)
Research Model and Hypotheses
Precision
Hybridization
Multi-Objective Pareto Front Clustering
Research Methodology
Implications
Conclusions and Future Works
References
Comparative Analysis of Recombination Operators in Genetic Algorithms for the Travelling Salesman Problem
Introduction
The Travelling Salesman Problem
Crossover Operators for Permutation Based Encoding
Proposed Recombination Operators
Adaptive Goal Guided Recombination
Best-Worst Recombination
Best Order Crossover
Experimental Results
Conclusions
References
Multiple Local Searches to Balance Intensification and Diversification in a Memetic Algorithm for the Linear Ordering Problem
Introduction
Related Work
Local Searches
Proposed Memetic Algorithm (MLSM)
Experimental Results
Conclusions
References
Enhancing Accuracy of Hybrid Packing Systems through General-Purpose Characterization
Introduction
Algorithm Selection for a Hybrid Solution System
Characterization of Optimization Problems
Study Case: BPP Solved with Heuristic Algorithms
Bin Packing Problem
Approximation Solution Algorithms
Proposed Metrics for BPP Characterization
Problem Characterization
Algorithm Characterization
Transformation from Multiclass Instances to Single-Class Instances
Experimentation
Results
Conclusions
References
Metaheuristics for Combinatorial Optimization and Modelling Complex Systems
Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation
Introduction
Methods
Experimental Setup
Results
Conclusion
References
A Simple Proactive Provider Participation Technique in a Mesh-Based Peer-to-Peer Streaming Service
Introduction
Mathematical Model
A Polytime Resolution for One Content
A Metaheuristic Approach for Multiple Contents
Empirical Results
Performance in a Real Platform for One Content
Simulation for Multiple Contents
Conclusions
References
Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis
Introduction
Experimental Setup
Methods
Results
Conclusions
References
Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model
Introduction
Traffic Model for On-Line Data Processing
Performance Measures
Modelling of an Imprecise Traffic Information
Case Study
Conclusions
References
An Improved Heuristic for the Bandwidth Minimization Based on Genetic Programming
Introduction
The Genetic Program for Solving the MBMP
Genetic Representation
Initial Population
The Fitness Value
Genetic Operators
Selection
Genetic Parameters
Computational Results
Conclusions
References
About Inducing Simple Emergent Behavior in Large Cournot Games by Using Crowding Based Differential Evolution
Introduction
Emergence
Generative Relations for Nash Equilibria
Nash Ascendancy Relation
Proposed Players Interactions
The Cournot Oligopoly
Adapted Crowding Differential Evolution (ACDE)
Numerical Simulations
Type A Interactions
Type B Interactions
Type C Interactions
Conclusions
References
An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data
Introduction
White Box Models SAP Learning with LQD
Tree-Generation Algorithms
Experimentation and Results
Conclusions and Future Work
References
Hybrid Systems for Context-Based Information Fusion
RT-MLR: A Hybrid Framework for Context-Aware Systems
Introduction
Context Representation and the System Development Issue
Integrating Software Objects with Formal Rules
Context Monitoring
The Framework
Assumptions
Implementation
Case Studies
Correlation of Military Tracks
Correlating Tracks with Context Characteristics for Hostility Estimation
Conclusion and Future Works
References
DAFNE - A Distributed and Adaptive Fusion Engine
Introduction
State of the Art
Design Goals
System Architecture
System Context and Use
Functional Design
Fusion Engine
Fusion Management
Discussion and Conclusions
References
Context Representation and Fusion via Likelihood Masks for Target Tracking
Introduction
Contextual Information in Data Fusion
Formulation
Likelihood Masks
Likelihood Fusion
Conclusions
References
Adaptive Data Fusion for Air Traffic Control Surveillance
Introduction
Sensor Measurement Process Description
ATC Radar
ADS-B
Wide Area Multilateration Error Models
Surveillance Sensors Assessment and Adaption
Adaptation Expert System Design
Simulation Results
Conclusion
References
Dynamic Channel Model LMS Updating for RSS-Based Localization
Introduction
Related Work
Localization Scenario
Proposed Adaptive Calibration Algorithm
Performance Evaluation
Conclusions
References
Improving the Accuracy of Action Classification Using View-Dependent Context Information
Introduction
System Overview
View-Independent Action Recognition
Feature Extraction
Action Classification
Probabilistic Context Model
Application Example
Conclusions and Future Works
References
A General Purpose Context Reasoning Environment to Deal with Tracking Problems: An Ontology-Based Prototype
Introduction
Overall Architecture
Tracking Module
Annotation Module
Knowledge Module
Ontology Based Prototype: Knowledge System
Case Study: Occlusion Problem
Conclusion and Future Work
References
Methods of Classifiers Fusion
Accuracy Updated Ensemble for Data Streams with Concept Drift
Introduction
Related Work
Accuracy Updated Ensemble
Experimental Evaluation
Data Sets
Results
Conclusions and Future Work
References
Classifier Ensembles for Virtual Concept Drift - The DEnBoost Algorithm
Introduction and Problem Statement
Definition of the Model
Experiments
Discussion
References
On Performance of DRSA-ANN Classifier
Introduction
Stylometric Analysis of Texts and Input Data
Construction of a Connectionist Classifier
Analysis of DRSA Decision Rules
Obtained Results
Conclusions
References
Performance Analysis of Fuzzy Aggregation Operations for Combining Classifiers for Natural Textures in Images
Introduction
Automatic Hybrid Classifier Design
Comparative Analysis and Performance Evaluation
Unsupervised Training: Estimating the Best Partition
Design of a Test Strategy
Analysis of Results
Conclusions
References
A Generalization of Majority Voting Scheme for Medical Image Detectors
Introduction
Majority Voting
The Generalization
The Specific Application
Conclusion
References
An Efficient Hybrid Classification Algorithm - An Example from Palliative Care
Introduction
Related Research
Random Decision Tree Classification Experiment
Algorithms
Results and Discussion
Conclusions and Further Research
References
An Effective Feature Selection Algorithm Based on the Class Similarity Used with a SVM-RDA Classifier to Protein Fold Recognition
Introduction
The Database and Feature Vectors
The SVM-RDA Classifier
The SVM Classifier
The RDA Classifier
The Combined SVM-RDA Classifier
Feature Selection Algorithm
Experiments
Results and Conclusions
References
Empirical Comparison of Resampling Methods Using Genetic Neural Networks for a Regression Problem
Introduction
Methods Used and Experimental Setup
Results of Experiments
Conclusions and Future Work
References
Structured Output Element Ordering in Boosting-Based Classification
Introduction
Related Work
Structured Output Learning Using AdaBoostSeq Algorithm and Heuristics
Experiments and Results
Conclusions
References
Probabilistic Approach to the Dynamic Ensemble Selection Using Measures of Competence and Diversity of Base Classifiers
Introduction
Theoretical Framework
Preliminaries
Randomized Reference Classifier - RRC
Measure of Classifier Competence
Measure of Diversity of Classifiers Ensemble
Dynamic Ensemble Selection System
Method
Solution of Optimization Problem
Experiments
Databases and Experimental Setup
Results and Conclusion
Conclusion
References
Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner
Introduction
Proposed Fuzzy Combination Methods
Fuzzy Combiner Model (FC)
Fuzzy ECOC and Fuzzy DT
Computational Complexity and Expected Space Complexity
Conclusions
References
Costs-Sensitive Classification in Multistage Classifier with Fuzzy Observations of Object Features
Introduction
Bayes Hierarchical Classifier
Decision Problem Statement
The Recognition Algorithm with Fuzzy Observations
Cost Model
Cost Model for Fuzzy Observations
Conclusion
References
Intelligent Systems for Data Mining and Applications
Fusion of Similarity Measures for Time Series Classification
Introduction
Related Work
Time Series Similarity Measures
Fusion of Similarity Measures
Experiments
Conclusions and Outlook
References
Enhancing IPADE Algorithm with a Different Individual Codification
Introduction
Background
Prototype Generation
Differential Evolution
Iterative Prototype Adjustment Based on Differential Evolution
Initialization
Differential Evolution Optimization for IPADE
Addition of Prototypes
IPADECS: IPADE with a Complete Solution Per Individual
Experimental Framework and Analysis of Results
Experimental Framework
Analysis of Results
Concluding Remarks
References
A Multi-objective Evolutionary Approach for Subgroup Discovery
Introduction
Subgroup Discovery
GAR-SD Algorithm. Description of the Method
Chromosome Representation and Initial Population
Genetic Operators
Fitness Function
Experimental Evaluation
Conclusions
References
Gene Regulatory Networks Validation Framework Based in KEGG
Introduction
Description
Results
Conclusions
References
Computational Intelligence Techniques for Predicting Earthquakes
Introduction
Methodology
Association Rules Mining
Regression: M5P Algorithm
Results
Data Description
Quantitative Association Rules Extraction
M5P Results
Conclusions
References
Reduct-Based Analysis of Decision Algorithms: Application in Computational Stylistics
Introduction
Computational Stylistics
Data Mining with DRSA
Reduct-Based Analysis of Attributes
Obtained Results
Conclusions
References
Evolutionary Protein Contact Maps Prediction Based on Amino Acid Properties
Introduction
Methodology
Encoding
Genetic Operators and Fitness Function
Experiments and Results
Conclusions and Future Work
References
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study
Introduction
Data Description
Method
Initial Population
Fitness Function
Crossover and Mutation
Regression Models
Results
Conclusions
References
Analysis of Measures of Quantitative Association Rules
Introduction
Association Rules
Interestingness Measures for Association Rules
Multi-objective Optimization
Experimental Study
Conclusions
References
Systems, Man, and Cybernetics by SOCO-Workshop
Supervised Rule Based Thermodynamic Cycles Design Technique
Introduction
The Context of the Problem
Problem Solving Task
A Case Study
Conclusions
References
Deformation Based Features for Alzheimer's Disease Detection with Linear SVM
Introduction
Materials and Methods
Pearson's Correlation
Spearman's Correlation
Results
Conclusions
References
A Hybrid System for Survival Analysis after EVAR Treatment of AAA
Introduction
Methods
Region Growing Based Lumen Segmentation
Registration
Neural Network Classification Algorithms
Results
Conclusion and Future Work
References
Plenary
A Hybrid Intelligent System for Generic Decision for PID Controllers Design in Open-Loop
Introduction
Conceptual Modeling of a PID Controller
General Flow-Chart for Open-Loop Knowledge
Deducing Rules to Complete the Knowledge Model
Validation
Empirical Verification on Ceramic Furnace
Conclusions
References
Clustering Ensemble for Spam Filtering
Introduction
Ensemble Learning
Topology Preserving Maps
The SOM Algorithm
Data Clustering Capabilities
ProposedModel
Experiments and Results
Information Representation
Experiments Description and Results
Conclusions and Future Work
References
Hybrid Artificial Intelligence Systems inManagement of Production Systems
Rule-Based Expert System Dedicated for Technological Applications
Introduction
Expert Systems in Technological Processes Planning
Input Data for a CAPP System
The Knowledge Base Structure
Rule-Based Machining Features Recognition
Assigning Variants of Machining Process into Machining Features
Sequencing of Machining Features
Graphical User Interface of the Developed System
Summary
References
Concept of a Data Exchange Agent System for Automatic Construction of Simulation Models of Manufacturing Processes
Introduction
Ways of Obtaining Data for Building Simulation Models
Main Tasks of a Software Agent
Agent Programming Theory Development
Classification and Description of Objects in a Simulation Model of Manufacturing Processes
Summary
References
Evaluation of the Risk in Production Systems with a Parallel Reliability Structure Taking into Account Its Acceptance Level
Introduction
Reliability Structure of Systems
Risk Acceptance Coefficient
Proportional Coefficient of Risk Changes
Weight Coefficient of Risk Changes
Example of Determining the Value of Risk for a Production System with a Parallel Structure of Production
A Method of Determining the Value of Risk for a Production System with a Parallel Structure of Production
Conclusion
References
Production Preparation and Order Verification Systems Integration Using Method Based on Data Transformation and Data Mapping
Introduction
Problem Formulation
SWZ and PROEDIMS Production Planning and Preparation Systems
PROEDIMS System
SWZ System
SWZ and PROEDIMS Exchange Data Module
Summary
References
Object-Oriented Models in an Integration of CAD/CAPP/CAP Systems
Introduction
The Object Method of Technological Knowledge Representation
Object-Oriented Model for Production Scheduling
Subjects
Classes and Objects
Structures
Attributes
Methods and Messages
Summary
References
Hybrid Artificial Intelligent Systems for Medical Applications
A Hybrid Artificial Intelligence System for Assistance in Remote Monitoring of Heart Patients
Introduction
Architecture
Concept of a Hybrid Artificial Intelligence Classifier
Challenges
Concept of a Hybrid Classifier
Rule-Based Classifier
Probabilistic Classifier
Experimental Results
Conclusion and Outlook
References
Hybrid Patient Classification System in Nursing Logistics Activities
Introduction
Background
Challenges in Modelling Patients Classification
Concept and Designs of Patient Classification
Hybrid Classification Model, Methods and Material
Experimental Results
Conclusion and Future Work
References
An Approach of Soft Computing Applications in Clinical Neurology
Introduction
Statistics vs. Hybrid Artificial Intelligent Systems
Soft Computing
Applications of Soft Computing in Neurology
The Hybrid Model for Classification of EMG Signals
The Hybrid Systems in Classification of Primary Generalised Epilepsy
Conclusion and Future Work
References
Plenary
A Hybrid System for Dental Milling Parameters Optimisation
Introduction
Soft Computing for Data Structure Analysis
System Modelling Using Identification Algorithms
Genetic Algorithm for System Optimisation
A High Precision Industrial Use Case Scenario
Optimising a Real Dental Milling Process
Identification of the Relevant Features
Modelling a Normal Dental Milling Operation
Optimisation of a Normal Dental Milling Operation
Experiment and Results
Conclusions and Future Work
References
Hybrid Intelligent Approaches in Cooperative Multi-robot Systems
A Hybrid Color Distance for Image Segmentation
Introduction
Spherical Coordinates and Chromaticity
DRM Expressed in Spherical Coordinates
Edge and Distance
Segmentation
Experimental Results
Conclusions
References
Empirical Study of Q-Learning Based Elemental Hose Transport Control
Introduction
Experimental System Design
Experimental Results
Conclusions
References
Towards Concurrent Q-Learning on Linked Multi-Component Robotic Systems
Introduction
Modular Concurrent Q-Learning
Veto-Based Action Selection
Hose Transport Application
Modules
Experiments
Conclusions
References
Evolutionary Procedure for the Progressive Design of Controllers for Collective Behaviors
Introduction
Description of the Architecture and Procedure
Collective Supply Example
Low-Level Behaviors
High-Level Behaviors
Conclusions
References
Topos 2: Spiking Neural Networks for Bipedal Walking in Humanoid Robots
Introduction
State of the Art
Objectives
Tools
Conclusions
References
Author Index

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