Hybrid Artificial Intelligent Systems

Name: Hybrid Artificial Intelligent Systems | 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012, Proceedings, Part I
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7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012, Proceedings, Part I

Emilio S. Corchado Rodriguez Vaclav Snasel Ajit Abraham Michal Wozniak Manuel Grana Sung-bae Cho(Editor)

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Published on 15. March 2012

XXXII, 708 pages

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978-3-642-28942-2 (ISBN)

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Content

Title
Preface
Organization
Table of Contents
Special Sessions
Agents and Multi Agents Systems
An Agent Model for Incremental Rough Set-Based Rule Induction in Customer Relationship Management
Introduction
Literature Review
Rough Set-Based Rule Induction
Related Incremental Algorithm
Hybrid Artificial Intelligent Agent Systems
Solution Approach
The Incremental Architecture of Rough Set-Based Rule Induction
The Agent-Based Solution Approach
The Time Complexity of the Proposed IRSRIA
Case Study
Experiment 1
Experiment 2
Experiment 3
Conclusion
References
Case-Based Argumentation Infrastructure for Agent Societies
Introduction
Argumentation Framework
Infrastructure
Argumentative Agents
Argument Management Process
Commitment Store
Knowledge Interchange Mechanism
Call Centre Example
Customer Support Application
Evaluation
Conclusions
References
The Application of Multi-Agent System in Monitoring and Control of Nonlinear Bioprocesses
Introduction
The Control of the Oscillatory Mode of Operation
Mathematical Model
The Choice of the ?-Parameter
The Description of the Agent Applications
Results
Concluding Remarks
References
Agent Capability Taxonomy for Dynamic Environments
Introduction
Agent-: An Agent Model
Extending Task and Event Models
Task Taxonomy
Event Taxonomy
Capability Taxonomy
mmCapability: Multiple Events and Multiple Tasks
imCapability: Interrupting Events and Multiple Tasks
nmCapability: Non-interrupting Events and Multiple Tasks
miCapability: Multiple Events and Interrupting Tasks
iiCapability: Interrupting Events and Interrupting Tasks
niCapability: Non-interrupting Events and Interrupting Tasks
mnCapability: Multiple Events and Non-interrupting Tasks
inCapability: Interrupting Events and Non-interrupting Tasks
nnCapability: Non-interrupting Events and Non-interrupting Tasks
Conclusions
References
Modeling Internet as a User-Adapted Speech Service
Introduction
Our Proposal to Provide a Speech-Based Access to the Web
Developing General-Purpose Web Applications
From General-Purpose to More Natural Mixed-Initiative Dialogs
Practical Applications
General-Purpose Applications
Web Applications Based on Interactive Dialog
Conclusions
References
HAIS Applications
Unsupervised Classification of Audio Signals by Self-Organizing Maps and Bayesian Labeling
Introduction
Probabilistic Self-Organizing Maps (PSOM)
SOM Labeling Method
Feature Extraction for Clarinet Music Classification
Time Domain Characterization
Frequency Domain Characterization
Experimental Results
Conclusions
References
Robust Speaker Identification Using Ensembles of Kernel Principal Component Analysis
Introduction
Related Works
Speaker Identification Using GMM-UBM [7]
Feature Enhancement Using GKPCA [4]
Proposed Method
Experiments and the Results
Database and Speaker Model Training
Feature Extraction
Feature Enhancement
Experimental Results
Conclusions
References
Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting
Introduction
Algorithms and Methods for Regression Tasks
Truncated Mean k-NN Method
Other Machine Learning Algorithms
Optimizing k-NN Regression Model with GAs
Evolutionary Optimization Process Using a GA
Experiments and Results
Experiments Using Classical Machine Learning Techniques
Experiments Using k-NN Method Optimized with GA
Conclusions and Future Work
References
A Social Network-Based Approach to Expert Recommendation System
Introduction
Related Work and Our Contribution
The Proposed Model
Constructing Experts' Profiles
Integrating Semantic Knowledge into Profiles
Construction the Social Network of Experts
Building the Expert Recommendation System
An Example Application
Clustering Experiments
Recommendation Experiments
Conclusion
References
Decentralized Multi-tasks Distribution in Heterogeneous Robot Teams by Means of Ant Colony Optimization and Learning Automata
Introduction
Formal Definitions
Formal Description of the Problem
Experimental Scenario
Learning Automata Methods
A Brief Introduction
Basic Definitions
Stochastic Reinforcement Algorithms in Learning Automata Theory
Ant Colony Optimization Methods
Experimental Results
Evaluation of the Performance Index
Dynamic Tasks Generation
Conclusions and Further Work
References
Lipreading Procedure for Liveness Verification in Video Authentication Systems
Introduction
State of the Art
Proposed Solution
Lip Contour extraction
Building Feature Descriptor
Liveness Verification
Experimental Evaluation
Conclusion
References
Fuzzy Sliding Mode Control with Chattering Elimination for a Quadrotor Helicopter in Vertical Flight
Introduction
Quadrotors Dynamics Modeling
Rotor Dynamics
Control Strategy
Sliding Mode Control Using Non Linear Sliding Surface
Proposition 1
Fuzzy Sliding Mode Controller Design
The Proposed Fuzzy Sliding Mode Control of the Quadrotor
Simulation Results
Conclusion
References
Ensemble of Binary Learners for Reliable Text Categorization with a Reject Option
Introduction
Related Work
The ECOC Classifier with a Reject Option
Numerical Experiments and Results
Conclusions and Future Work
References
Spontaneous Facial Expression Recognition: Automatic Aggression Detection
Introduction
Representation of the Face and Tracking Its Selected Points
Extraction of Features
The SVM Classifier
The Experimental Results
Conclusions
References
A Memetic Approach to Project Scheduling that Maximizes the Effectiveness of the Human Resources Assigned to Project Activities
Introduction
Related Works
Problem Description
Memetic Algorithm
Representation of Solutions
Initial Population
Fitness Function
Selection, Crossover and Mutation
Local Search Algorithm
Computational Experiments
Comparison with a Competing Algorithm
Conclusions
References
Hunting for Fraudsters in Random Forests
Introduction
Related Work
Background: Subgroup Discovery
Our Approach
Step 1: Finding Outliers on Individual (Patient) level
Step 2: Finding Descriptions of Deviating Groups
Step 3: Finding Outliers on a Group Level
Results and Analysis
Results on Prosthodontist Data
Results on Abalone Data
Conclusions and Further Research
References
Neural Networks Ensembles Approach for Simulation of Solar Arrays Degradation Process
Introduction
Comprehensive Evolutionary Approach for Neural Networks Ensembles Automatic Design
Probability Based Generator for Neural Networks Structures
Genetic Programming Based ENsembling
Numerical Experiments
Conclusions
References
Using Genetic Algorithms to Improve Prediction of Execution Times of ML Tasks
Introduction
Meta-Learning for Predicting Execution Times
Support Vector Machines
Genetic Algorithms for SVM
Experiments
Experimental Settings
Experimental Results
Conclusions
References
Hybrid Artificial Intelligence Approaches on Vehicle Routing Problem in Logistics Distribution
Introduction
The Vehicle Routing Problem and Extensions
Travelling Salesman Problem
Vehicle Routing Problem
Vehicle Routing Problem with Time Windows
Vehicle Routing Problem with Back-Hauls
Other Vehicle Routing Problems
Classical Problem-Solving Methodologies
Construction Heuristics
Improvement Heuristics
Metaheuristics
Evolutionary Algorithms
Genetic Algorithms
Ant Colony Optimization
Artificial Immune Systems
Hybrid Vehicle Routing Problem Models and Applications
Conclusion and Future Work
References
Fuzzy C-means Clustering with Bilateral Filtering for Medical Image Segmentation
Introduction
Related Works
Methods
Fuzzy C-Means(FCM) Algorithm
FCM with Bilateral Filtering
Experiments
Image Data
Cluster Validity Functions and Methods for Discriminative Analysis
Results and Discussion
Conclusion
References
A Improved Clustering Analysis Method Based on Fuzzy C-Means Algorithm by Adding PSO Algorithm
Introduction
Method
Fuzzy C-Means(FCM) Algorithm
Particle Swarm Optimization (PSO) Algorithm
PSO-FCM Algorithm
Experiments and Analytical Discussions
Data
Clustering Validity Functions
Validity Experiments and Analytical Discussions
Speed Testing Experiments
Performance Experiments
Conclusion
References
Cluster Analysis
k-Means Clustering of Asymmetric Data
Introduction
Traditional k-Means Algorithm
Asymmetry in Data
Asymmetric Coefficients
Asymmetric k-Means Algorithm
Experiments
Evaluation Criteria
Feature Extraction
Piano Music Composer Clustering
Human Heart Rhythms Clustering
Summary and Future Research
References
A Max Metric to Evaluate a Cluster
Introduction
Proposed Method
Cluster Evaluation
Max Method
Consensus Function
Experimental Study
Evaluation Metric
Datasets
Experimental Settings
Experimental Results
Conclusion and Future Works
References
Nearest Cluster Classifier
Introduction
NCC: Nearest Cluster Classifier
Determining the Label of Cluster Centers
Evaluation of the Cluster Centers
Final Classifier
Experimental Study
Datasets
Experimental Settings
Experimental Results
Conclusion and Future Works
References
Diffusion Maps for the Description of Meteorological Data
Introduction
Diffusion Maps
Diffusion Maps for Meteorological Data
Time Compression
Spatial Compression
Conclusions
References
Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees
Introduction
Prototype Based Rules and Interpretability of Distance Based Decision Trees
Computational Complexity Reduction
Numerical Experiments
Experiment Description
Results and Remarks
Conclusions
References
Data Mining and Knowledge Discovery
Improving the Generalization Capability of Hybrid Immune Detector Maturation Algorithm
Introduction
Algorithm
Match Range Model
The State Transformation Model
The Detect Process
Implementation of HIDMA-GC Algorithm
Experiments
Generalization Capability
The Effect of Affinity Maturation and Adaptive Population
Conclusion
References
White Box Classification of Dissimilarity Data
Introduction
Generalized Learning Vector Quantization
Dissimilarity Data
Experiments
Conclusions
References
On Ensemble Classifiers for Nonintrusive Appliance Load Monitoring
Introduction
Related Work
Data Acquisition and Feature Computation
Hybrid Classifier
Multi-class Support Vector Machines
K-Nearest Neighbors
Ensemble
Experimental Analysis
Installation Data
Field Study Data
Neighborhood Sizes of KNN
Conclusions
References
Lee Path Replanner for Partially-Known Environments
Introduction
Related Work
Lee's Algorithm
Lee's Replanner
Experimental Results
Conclusion
References
Stroke Based Handwritten Character Recognition
Introduction
Methodology
Image Acquisition and Preprocessing
Processing
Stroke Segmentation
Generating the Representative String Applying the Grammar
Knowledge Base and Inference Engine
Experiments and Results
Conclusions and Future Works
References
KETO: A Knowledge Editing Tool for Encoding Condition - Action Guidelines into Clinical DSSs
Introduction
Related Work and Motivations
Clinical DSS Design Considerations
KETO Functionalities
The Knowledge Editing Interface
Conclusions
References
Integration of Intelligent Information Technologies Ensembles for Modeling and Classification
Introduction
The Automated Design of Intelligent Information Technologies
Genetic Programming Method For IIT Ensembles Designing
Application to Real-World Problems
Conclusion
References
Fusion of Modular Bayesian Networks for Context-Aware Decision Making
Introduction
Modular Bayesian Network
Definitions
Inter-modular d-separation
Inference with Modular Bayesian Networks
Preserving Causalities
Selective Inference for Modular Bayesian Networks
Experimental Results
Conclusion
References
Evolutionary Computation
Real-World Problem for Checking the Sensitiveness of Evolutionary Algorithms to the Choice of the Random Number Generator
Introduction
Related Work
Methods and Materials
Evolutionary Algorithms
Random Number Generators
Statistical Inference
Production Setup
Analysis and Results
Conclusion and Future Work
References
Hybrid Multi-objective Machine Learning Classification in Liver Transplantation
Introduction
Method
Data Pre-processing
Multi-objective Classification Using Memetic Pareto Evolutionary Neural Networks
Mono-Objective Algorithms
Experimental Study
Dataset Description
Experimental Design
Statistical Analysis
Results
Conclusions
References
Evolutionary Optimized Forest of Regression Trees: Application in Metallurgy
Introduction
Regression Tree and Their Committee Optimization
Temperature Control in the Electric Arc Furnace
Methodology
Data Transformation
Tree Construction and Split Criteria
Forest Construction
Optimization of Split Points
Evolutionary Optimization of Forest Decision
Construction of the Best Tree with Genetic Algorithms
Combining the Final Decision
Experimental Evaluation
Experimental Methodology
Datasets
Experimental Results
Conclusions
References
Evolutionary Neural Networks for Product Design Tasks
Introduction
Experimental Design
Experimental Results
Conclusions
References
An Incremental Hypersphere Learning Framework for Protein Membership Prediction
Introduction
Related Work
Incremental Learning Framework
IHC algorithm
Proposed IHC-SVM Learning Framework
Experimental Setup
Experimental Datasets
Pre-processing
Evaluation Metrics
Results and Discussion
Conclusions and Future Work
References
An Evolutionary Approach to Generate Solutions for Conflict Scenarios
Introduction
Defininga Conflict Resolution Scenario with Genetic Algorithms
Initialization
Selection
Reproduction
Mutation
Crossover
Heredity
Termination
Conclusions
References
Initialization Procedures for Multiobjective Evolutionary Approaches to the Segmentation Issue
Introduction
Segmentation Formalization
Population Initialization
Experimental Validation
Conclusions
References
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution
Introduction
Threshold Autoregressive Models
Differential Evolution
Using DE for the Optimization of the NCSTAR Model
Empirical Study and Analysis of the Results
Used Time Series
Algorithms and Parameters
Results Obtained and Statistical Analysis
Conclusions
References
ReactGA - The Search Space Transformation for the Local Optimum Escaping
Introduction
Related Works
The Method Description
ReactGA Algorithm
The Experimental Evaluation
Conclusions
References
Learning Algorithms
PATMAP: Polyadenylation Site Identification from Next-Generation Sequencing Data
Introduction
Materials and Methods
Schema of PATMAP
Dataset
Iterative PAT Mapping
Determination of Cleavage Sites
Clustering of Micro-heterogeneic Cleavage Sites
Results
Poly(A) Sites from Arabidopsis
Poly(A) Sites from Yeast
Conclusions
References
How to Reduce Dimension while Improving Performance
Introduction
Automatic Speaker Recognition System
Front-End Processing
Acoustic Feature Extraction
Classifier
Genetic Algorithm
GA Optimization Process
MFCC Features Encoding
MFCC Features Encoding
Population Initialization
Population Evaluation
Chromosome Selection
Crossover
Mutation
Replacement
Stop Criterion
Results and Discussions
Conclusions and Future Works
References
On How Percolation Threshold Affects PSO Performance
Introduction
Analysis of Goals as a Function of the Expected Degree at Initial Step
Exploring the Disk Percolation Threshold
Exploring R in the the Interval [0,0.9]
Comparing Different Domain Through Degree a
Conclusions
References
Pollen Grains Contour Analysis on Verification Approach
Introduction
Image Preprocessing
Feature Extraction
Classification System
Experimental Settings
Database
Experiment Methodology
Results and Analysis
Results for the Identification Process
Results for the Verification Process
Conclusions
References
Modelling Stress Recognition in Conflict Resolution Scenarios
Introduction
The Stress Interpretation and a Multimodal Approach
Dynamic Stress Recognition Model
The Stress Detection Module
A Stress Prediction Module Based in CATS
Stress-Aware Conflict Resolution
Conclusions
References
Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint
Introduction
Problem Statement
Non-linear Modelling Using Soft Computing Techniques
Multilayer-Perceptron Neural Network
Multilayer-Perceptron Network Ensemble Model
MLPE Model Optimization Using GA
Case Study: Bolted Lap Joint
Development of the FE Model
Parametric Study
Experiments and Results
Conclusions and Future Work
References
A Hybrid Classical Approach to a Fixed-Charged Transportation Problem
Introduction
The Fixed-Charge Transportation Problem
Description of the Fixed Transportation Problem
Mathematical Model of the Fixed Transportation Problem
Proposed Hybrid Models Based on Nearest Neighbor
The Nearest Neighbor Transportation Model
Hybrid Transportation Models
Computational Experiments
Conclusions and Future Work
References
Computing Optimal Solutions of a Linear Programming Problem with Interval Type-2 Fuzzy Constraints
Introduction and Motivation
Interval Type-2 Fuzzy Constraints
The IT2FLP Model
Computing the Optimality Bounds of an FLP with IT2 Constraints
Bounds of
Illustrative Example
Concluding Remarks
Further Topics
References
Systems, Man, and Cybernetics by HAIS
Supervision Strategy of a Solar Volumetric Receiver Using NN and Rule Based Techniques
Introduction
Model Based on Fault Detection Methods
Goals to Be Achieved
Causality Based Modeling Approach
On Functional Approximation by Feedforward NNs
Supervision Strategy
Supervision Results
Conclusions
References
Modeling an Operating System Based on Agents
Introduction
Towards the Integration of OS and Agents
Analysis of an Organizations-Based Operating System
Goals
Services
Actors and Roles
Abstract Architecture of an Agent-Based Operating System
Conclusions
References
An Empirical Comparison of Some Approximate Methods for Graph Coloring
Introduction
Graph Coloring Problem Methods
Instances of the Problem
Experimental results
GSI Implementation
Results
Conclusions
References
A Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems
Introduction
Problem Definition
Classical Approach
Evolutionary Algorithm with Prediction
Prediction Mechanism
Evaluation Function
Experiments
Benchmark I
Benchmark II
Benchmark III
Conclusions
References
Non-linear Data Stream Compression: Foundations and Theoretical Results
Introduction
Foundations of Non-linear Data Stream Compression
Formal Models and Theoretical Results
Refinement of Theoretical Contributions
Conclusions and Future Work
References
Reasoning with Qualitative Velocity: Towards a Hybrid Approach
Introduction
Logic QV for Reasoning with Qualitative Velocity
Relational Representation of Logic QV
Relational Dual Tableau for QV
Conclusions and Future Work
References
Research of Neural Network Classifier Based on FCM and PSO for Breast Cancer Classification
Introduction
Particle Swarm Optimization Algorithm with Inertia Weight
The Procedure of Learning Algorithm for FCM and PSO
Floating Centroids Method
Model of Neural Network Classifier
Centroids Generation
The Process of Learning Algorithm
Target Function
Experiments and Results
Conclusions
References
Improving Evolved Alphabet Using Tabu Set
Introduction
Data Compression
Genetic Algorithms
Tabu Set
Optimizing Compression Alphabet
Definition of the Algorithm
Experiments
Testing Files
Parameters of the Algorithm
Results for the Files from Canterbury Corpus
Results of LZSS for the Files from Canterbury Corpus
Conclusion
References
Rough Sets-Based Identification of Heart Valve Diseases Using Heart Sounds
Introduction
The Heart Sound Signals: Data Collection and Its Characteristics
The Proposed Rough Set-Based Identification of Heart Valve Diseases Approach
Pre-processing Phase
Analysis and Rule Generating Phase
Experimental Results and Discussion
The Heart Sound: Data Sets Characteristics
Comparison between Different Classifiers and the Proposed Algorithm
Analysis on the Generated Reducts to Explain the Results
Conclusions
References
A Novel Hybrid Intelligent Classifier to Obtain the Controller Tuning Parameters for Temperature Control
Introduction
Steps to Obtain the Best Plant Controller Parameters
Tuning Controller Topology Based on Hybrid Classifier
PID Controller Format
PID Controller Tuning in Closed-Loop
Hybrid Classifier Proposal
Flowchart of Knowledge of Existing Rules
Classifiers to COMPLETE the Model
Empirical Verification with a Physical Plant
The Physical Description
Implementation of the Control
Practical Behavior of Hybrid Classifier Application onto the Plant
Conclusions
References
SpaGRID: A Spatial Grid Framework for High Dimensional Medical Databases
Introduction
Related Works
SpaGRID: A Spatial Grid Framework for High Dimensional Medical Databases
Feature Selection Techniques
Spatial Clustering Methods
Implementation
Experimentation
Conclusion and Future Works
References
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Hybrid Artificial Intelligent Systems

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