Advances in Soft Computing
10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part II
Published on 22. November 2011
XXV, 534 pages
978-3-642-25330-0 (ISBN)
Description
The two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully selected from XXX submissions. The second volume contains 46 papers focusing on soft computing. The papers are organized in the following topical sections: fuzzy logic, uncertainty and probabilistic reasoning; evolutionary algorithms and other naturally-inspired algorithms; data mining; neural networks and hybrid intelligent systems; and computer vision and image processing.
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Ildar Batyrshin | Grigori Sidorov
Advances in Soft Computing
10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part II
Book
11/2011
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Intro
- Title
- Preface
- Organization
- Table of Contents
- Fuzzy Logic, Uncertainty and Probabilistic Reasoning
- Intelligent Control of Nonlinear Dynamic Plants Using a Hierarchical Modular Approach and Type-2 Fuzzy Logic
- Introduction
- Background and Basic Concepts
- Granular Computing
- Type-2 Fuzzy Logic
- GAs
- Intelligent Control of Nonlinear Dynamic Plants Using a Hierarchical Modular Approach and Type-2 Fuzzy Logic
- Automatic Design of Fuzzy Systems for Control of Aircraft Dynamic Systems with Genetic Optimization
- Problem Description
- PID and Fuzzy System for Longitudinal Control
- Simulation Results
- Hierarchical Genetic Algorithm for Optimal Type-2 Fuzzy System Design in the Shower Control
- Problem Description
- Fuzzy Control
- Conclusions
- References
- No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow
- First Case Study: Interval Computations
- Second Case Study: Fuzzy Computations
- Third Case Study: When Computing Variance under Interval Uncertainty Is NP-Hard
- Fourth Case Study: Kolmogorov Complexity
- References
- Intelligent Robust Control of Dynamic Systems with Partial Unstable Generalized Coordinates Based on Quantum Fuzzy Inference
- Introduction
- Design Technology Knowledge Bases on Soft Computing
- ICS Model Based on Quantum Fuzzy Inference
- Simulation Results of Control Object with Partial Unstable General Coordinates
- General Comparison of Control Quality of Designed Controllers
- Conclusions
- References
- Type-2 Neuro-Fuzzy Modeling for a Batch Biotechnological Process
- Introduction
- Data and Substrate Model
- Type-1 Neuro-Fuzzy Model
- Model Structure
- Model Estimates
- Type-2 Neuro-Fuzzy Model
- Learning and Testing
- Conclusions
- References
- Assessment of Uncertainty in the Projective Tree Test Using an ANFIS Learning Approach
- Introduction
- Background
- RAMSET Methodology
- Tree Test Fuzzy Model
- Tree Test ANFIS Fuzzy Model
- Results
- Conclusions
- References
- ACO-Tuning of a Fuzzy Controller for the Ball and Beam Problem
- Introduction
- Related Work
- Ball and Beam System
- Fuzzy Controller
- Problem Description
- Objective
- Membership Function
- Universe of Discourse
- Ant Colony Optimization
- ACO Algorithm
- Heuristic Information
- Pheromone
- Building Solutions
- Pheromone Trails
- Experimental Results
- Conclusions and Future Studies
- References
- Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance
- Formulation of the Problem
- Simplest Case: Component Failures Are Independent and Failure Probabilities P(A) Are Exactly Known
- Important Subcase of the Simplest Case: When Components Are Very Reliable
- Monotonicity Case
- In Practice, the Dependence Is Sometimes Non-monotonic
- A Practically Important Case When Dependence May Be Non-monotonic but Intervals Are Narrow: Towards a New Algorithm
- Conclusion
- References
- Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning
- Introduction
- Data Gathering Process through Knowledge Engineering
- Knowledge Acquisition and Knowledge Base
- AKE to Acquire Individuals Mental Representation about Travel Behavior
- Fuzzy Cognitive Maps as a knowledge Modeling Technique
- Tool Based on Fuzzy Cognitive Maps
- Readjusting FCM Using a PSO Learning Method
- Implementing the Learning Method Based on PSO for the FCM Readjustment
- Validation
- Conclusions
- References
- Evaluating Probabilistic Models Learned from Data
- Introduction
- Viscosity Virtual Sensor
- Evaluation Tools
- Bayesian Information Criterion or BIC Score
- Data Conflict Analysis
- Parameter Sensitivity Analysis
- Learning Experiments
- Experiments Revising Performance
- Revising Markov Blankets
- Defined Best Model to Estimate the Viscosity
- Conclusions and Future Work
- References
- Evolutionary Algorithms and Other Naturally-Inspired Algorithms
- A Mutation-Selection Algorithm for the Problem of Minimum Brauer Chains
- Introduction
- Relevant Related Work
- Proposed Approach
- Mutation-Selection Algorithm
- Representation and Search Space
- Survivor Selection
- Neighborhood Function
- Evaluation Function
- Experimental Design and Fine-Tuning Process
- Implementation Note
- Results
- Conclusions
- References
- Hyperheuristic for the Parameter Tuning of a Bio-Inspired Algorithm of Query Routing in P2P Networks
- Introduction
- Background
- Hyperheuristic
- Parameter Tuning
- Routing of Semantic Consultation and Peer to Peer Nets
- Description of HH_AdaNAS
- Architecture of HH_AdaNAS
- Data Structures of HH_AdaNAS
- Algorithmic Description of HH_AdaNAS
- Description of HH_TTL
- Rules of Behavior of HH_TTL
- Experimental Results
- Experimental Environment
- Performance Measurement of HH_AdaNAS
- Conclusions
- References
- Bio-Inspired Optimization Methods for Minimization of Complex Mathematical Functions
- Introduction
- Optimization Methods
- Genetic Algorithms
- Particle Swarm Optimization
- Simulated Annealing
- Pattern Search
- FPSO+FGA Method
- Experimental Results
- Statistical Test
- Conclusions
- References
- Fundamental Features of Metabolic Computing
- Introduction
- Features
- Genetic Grammar
- Metabolic System
- Hardware Concept - Complexity
- Discussion
- References
- Clustering Ensemble Framework via Ant Colony
- Introduction
- Ant Colony Clustering
- Original Algorithm of Ant Clustering
- Weaknesses of Original Algorithm
- Modeling of Ant Colony
- Proposed Ant Colony Clustering Approach
- Modified Ant Colony Clustering
- Proposed New Space Defined by Ant Colony Algorithm
- Simulation and Results
- Experimental Settings
- Results
- Conclusion
- References
- Global Optimization with the Gaussian Polytree EDA
- Introduction
- Related Work
- Building the Gaussian Polytree
- Aspects of the Gaussian Polytree EDA
- Experiments
- Experiment 1: Convex Functions
- Experiment 2: Non-convex Functions
- Conclusions
- References
- Comparative Study of BSO and GA for the Optimizing Energy in Ambient Intelligence
- Introduction
- Algorithms
- Binary Bee Swarm Optimization
- Genetic Algorithm
- Proposed Solutions
- Results and Comparison
- Conclusions and Future Work
- References
- Modeling Prey-Predator Dynamics via Particle Swarm Optimization and Cellular Automata
- Introduction
- Background
- Cellular Automata
- Particle Swarm Optimization
- Proposed Model
- PSO as a Migration Algorithm
- Migration Process
- Comparison with Lotka - Volterra Systems
- Extinction
- Discussion
- Conclusions and Future Work
- References
- Data Mining
- Topic Mining Based on Graph Local Clustering
- Introduction
- Background
- Mathematical Notions
- Foundational Literature
- Topic Mining Approach
- Graph Local Clustering for Topic Mining
- Properties
- Experiments and Results
- Internal Validation
- External Validation
- Related Work
- Conclusions and Future Work
- References
- SC Spectra: A Linear-Time Soft Cardinality Approximation for Text Comparison
- Introduction
- Soft Cardinality for Text Comparison
- Soft Cardinality Definition
- SC Approximation with Similarity Functions
- Computing Soft Cardinality Using Sub-strings
- Soft Cardinality q-Spectrum
- Soft Cardinality Spectra
- Experimental Evaluation
- Experimental Setup
- Results
- Discussion
- Related Work
- Conclusions and Future Work
- References
- Times Series Discretization Using Evolutionary Programming
- Introduction
- Our Approach
- Statement of the Problem
- Evolutionary Programming
- Solution Encoding.
- Fitness Function.
- Mutation Operator.
- Replacement Mechanism.
- Experiments and Results
- Conclusions and Future Work
- References
- Clustering of Heterogeneously Typed Data with Soft Computing - A Case Study
- Introduction
- Clustering
- The Need to Encode
- Unbiased Encoding of Cathegorical Variables
- Exploring the Correlations
- Case Study: Profile of the Causes of Death of a Population
- The Data Base
- Preprocessing the Information
- Processing the Information
- Clusters Proposed by Human Experts
- Discussion and Perspectives
- References
- Regional Flood Frequency Estimation for the Mexican Mixteca Region by Clustering Techniques
- Introduction
- Related Work
- Regional Flood Frequency Analysis
- Clustering
- Multiple Linear Regression
- Experiments
- Experimental Design and Settings
- Experimental Results and Discussion
- Conclusion
- References
- Border Samples Detection for Data Mining Applications Using Non Convex Hulls
- Introduction
- Border Points, Convex Hull and Non-convex Hull
- Border Samples Detection
- Application on a Data Mining Task
- Conclusions
- References
- An Active System for Dynamic Vertical Partitioning of Relational Databases
- Introduction
- Dynamic Vertical Partitioning
- Motivation
- Related Work
- Architecture of DYVEP
- Statistic Collector
- Partitioning Processor
- Partitioning Reorganizer
- Implementation
- Benchmark
- Illustration
- Comparisons
- Conclusion and Future Work
- References
- Efficiency Analysis in Content Based Image Retrieval Using RDF Annotations
- Introduction
- Related Work
- Reference Architecture
- Performance Analysis Using Different Indexation Methods
- Issues about Efficiency
- Tests Performed
- Index Implementation in the Reference Architecture
- Conclusions
- References
- Automatic Identification of Web Query Interfaces
- Introduction
- Related Work
- Proposed Strategy
- Experimental Results
- Conclusions
- References
- Neural Networks and Hybrid Intelligent Systems
- A GRASP with Strategic Oscillation for a Commercial Territory Design Problem with a Routing Budget Constraint
- Introduction
- Problem Description
- Proposed Algorithm
- Empirical Work
- Performance of Local Search
- Assessment of Adaptive Memory
- Assessment of Strategic Oscillation
- Conclusions
- References
- Hybrid Intelligent Speed Control of Induction Machines Using Direct Torque Control
- Introduction
- Intelligent Speed Control of Induction Machines Using DTC
- Basics of Direct Torque Control
- Mathematical Model of Induction Machine
- Adaptable Genetically Enhanced Fuzzy PID Controller
- Simulation of the System
- Results
- Conclusions
- References
- A New Model of Modular Neural Networks with Fuzzy Granularity for Pattern Recognition and Its Optimization with Hierarchical Genetic Algorithms
- Introduction
- Basic Concepts
- Modular Neural Network
- Granular Computing
- Type-2 Fuzzy Logic
- Genetic Algorithms
- General Architecture of the Proposed Method
- General Architecture of the Proposed Method for the Modular Neural Network
- Description of the Genetic Algorithm for MNN Optimization
- General Architecture of the Proposed Method for the Fuzzy Integrator
- Description of the Genetic Algorithm for the Fuzzy Integrator
- Database of Ear
- Experimental Results
- Results with 1 Module with Fuzzy Integration
- Results with 3 Modules
- Results with Different Number of Modules
- Conclusions
- References
- Crawling to Improve Multimodal Emotion Detection
- Introduction
- Related Work
- Tools
- The EmoCrawler
- Methodology
- Experiments and Results
- Final Remarks and Future Work
- References
- Improving the MLP Learning by Using a Method to Calculate the Initial Weights of the Network Based on the Quality of Similarity Measure
- Introduction
- About Multilayer Perceptron and Its Learning Process
- Building Similarity Relations Based on the Quality of Similarity Measure
- A Method to Calculate the Initial Weights in the MLP Network
- Experimental Results
- Conclusions
- References
- Modular Neural Networks with Type-2 Fuzzy Integration for Pattern Recognition of Iris Biometric Measure
- Introduction
- Background and Basic Concepts
- Modular Neural Network
- Fuzzy Logic
- Type-2 Fuzzy Logic
- Historical Development
- Proposed Method and Problem Description
- Proposed Modular Neural Network
- Iris Image Pre-processing
- Modular Neural Network with Type-2 Fuzzy Logic Integration
- Simulation Results
- Conclusions
- References
- Wavelet Neural Network Algorithms with Applications in Approximation Signals
- Introduction
- Wavelet Neural Network (Wavenets)
- Wavenets Algorithms
- Wavenet
- Wavenets with Block IIR Structure
- Simulation Results
- ApproachMorletWavenet-IIR and Different Number of Neurons
- Comparison between Wavenet andWavenet-IIR for ECG Signal Approximation
- Conclusions
- References
- Computer Vision and Image Processing
- Similar Image Recognition Inspired by Visual Cortex
- Introduction
- Related Works
- CaNN
- Edge Detection
- CaNN Module
- The Architecture.
- Neural Network Training.
- Clustering Module
- Experimental Study
- Training and Testing Data
- Experiment 1 - The Pattern Recognition Related to the Number of the CANN Outputs
- Experiment 2 - The Influence of the Assumed Training Error on the Pattern Recognition
- Experiment 3 - The Influence of the Distance Metrics on the Pattern Recognition
- Conclusion and Future Work
- References
- Regularization with Adaptive Neighborhood Condition for Image Denoising
- Introduction
- Functional Proposal
- Implementation
- Experimental Results
- Conclusion
- References
- Multiple Target Tracking with Motion Priors
- Introduction
- Related Work
- Motion Priors
- Tracking with Particle Filters and Motion Priors
- Trackers: Definition
- Tracking Pedestrians with Particle Filters
- Experimental Results
- Conclusion
- References
- Control of a Service Robot Using the Mexican Sign Language
- Introduction
- Method
- Obtaining Images
- Segmentation
- Descriptor
- Neural Network
- Results
- Conclusion and Future Work
- References
- Analysis of Human Skin Hyper-Spectral Images by Non-negative Matrix Factorization
- Introduction
- Hyper-Spectral Data Adquisition: ASCLEPIOS System
- Hyper-Spectral Data Modeling and Analysis
- Physical Approach: Light-Skin Interaction
- Blind Source Separation Applied to Dermatology
- Results and Analysis
- Conclusions and Further Work
- References
- Similarity Metric Behavior for Image Retrieval Modeling in the Context of Spline Radial Basis Function
- Introduction
- The Spline Similarity Metric
- Segmentation Data Modeling System
- Preliminary Results
- Conclusions
- References
- A Comparative Review of Two-Pass Connected Component Labeling Algorithms
- Introduction
- Connected Component Labeling
- Elements of Two-Pass CCL
- Connectivity Analysis
- Equivalence Handling
- Union-Find Labeling
- Connection-List
- Labeling Procedure for Two-Pass CCL Methods
- Tests and Results
- Conclusions
- References
- A Modification of the Mumford-Shah Functional for Segmentation of Digital Images with Fractal Objectives
- Introduction
- The Mumford-Shah Functional
- Fractal Analysis and the Mumford-Shah Functional
- Estimating Fractal Dimension
- The Mumford-Shah Functional Revisited
- Experimental Results
- Discussion
- References
- Robust RML Estimator - Fuzzy C-Means Clustering Algorithms for Noisy Image Segmentation
- Introduction
- Proposed Method
- RML-Estimator
- Robust Fuzzy Clustering Algorithms
- Experimental Results
- Evaluation on a Synthetic Image
- Evaluation on a Real Image
- Evaluation with Berkeley Image Segmentation Data Set 500 (BSDS500)
- Discussion of Results
- Conclusions
- References
- Processing and Classification of Multichannel Remote Sensing Data
- Introduction
- Possible Strategies of On-Board/On-Land Processing
- Coders Used and Filtering Effect for the Strategy 1
- Classification of Compressed and Filtered Multichannel Images
- Discussion and Conclusions
- References
- Iris Image Evaluation for Non-cooperative Biometric Iris Recognition System
- Introduction
- Measurement of Blurring and Defocus in Iris Images
- Filter Low Frequencies in Images
- Computing the Total Power of an Image
- Convolution Kernels
- Daugman's Convolution Kernel
- The Convolution Kernel of Wei et al.
- Laplacian of Gaussian Convolution Kernel
- The Convolution Kernel of Kang and Park
- Experimental Results
- The Iris Video Dataset
- Best Iris Image Selection
- Conclusions
- References
- Optimization of Parameterized Compactly Supported Orthogonal Wavelets for Data Compression
- Introduction
- Parameterization of Filter Coefficients
- Parameterization of Filters of Length Four
- Special Cases for Filters of Length Four
- Parameterization of Filters of Length Sixth
- Parameterization of Filters of Length Eight
- Parameterization of Filters of Length Ten
- Wavelet Image Processing and Energy Conservation
- Genetic Algorithm and the Constrained Optimization Problem
- Experimental Results
- Conclusions and Future Work
- References
- Efficient Pattern Recalling Using a Non Iterative Hopfield Associative Memory
- Introduction
- Associative Memories
- The Hopfield Associative Memory
- Our Proposed Modification in the Hopfield Model
- Numerical Results
- Example
- Conclusions
- References
- Author Index
