Advances in Computational Intelligence

Name: Advances in Computational Intelligence | 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I
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11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I

Joan Cabestany Ignacio Rojas Gonzalo Joya(Editor)

Springer (Publisher)

Published on 30. May 2011

XXXVII, 568 pages

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978-3-642-21501-8 (ISBN)

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Content

Title Page
Preface
Organization
Table of Contents
Mathematical and Theoretical Methods in Computational Intelligence
Gaze Gesture Recognition with Hierarchical Temporal Memory Networks
Introduction
Eye Tracking, Gaze Gestures and the HTM Formalism
Experimental Setup
Results
Discussion
References
Feature Selection for Multi-label Classification Problems
Introduction
Mutual Information
Definitions
Estimation
Methodology
Experiments and Results
Evaluation Criteria
Datasets
Experimental Results
Conclusions
References
A Novel Grouping Heuristic Algorithm for the Switch Location Problem Based on a Hybrid Dual Harmony Search Technique
Introduction
Problem Statement
Proposed Hybrid Dual Grouping Harmony Search (DGHS) Algorithm
Computational Experiments and Results
Conclusions
References
Optimal Evolutionary Wind Turbine Placement in Wind Farms Considering New Models of Shape, Orography and Wind Speed Simulation
Introduction
Novel Optimization Model Proposed
Wind Farm Shape Model
Wake, Orography Model and Wind Speed Simulation
Cost Model
Proposed Evolutionary Algorithm
Experiments and Results
A Greedy-Constructive Approach for Comparison Purposes
Results
Conclusions
References
Multi-Valued Neurons: Hebbian and Error-Correction Learning
Introduction
Multi-Valued Neuron (MVN)
Generalized Learning Rules for Complex-Valued Neurons
Generalized Hebbian Learning
Generalized Error-Correction Learning
References
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification
Introduction
Multi-label Classification
CO2RBFN: An Evolutionary Cooperative-Competitive Hybrid Algorithm for RBFN Design
Experimentation
Conclusions
References
Single Neuron Transient Activity Detection by Means of Tomography
Introduction
Tomograms for Signal Analysis
Examples
Single Rhythmic Pattern
Different Rhythmic Patterns
Conclusions
References
Estimate of a Probability Density Function through Neural Networks
Introduction
Theoretical Background
Distribution Fitting Based on Neural Networks
Numerical Results
Test on a Synthetic Database
Test on an Industrial Application
Conclusions and Future Work
References
Learning and Adaptation
A Neural Fuzzy Inference Based Adaptive Controller Using Learning Process for Nonholonomic Robots
Introduction and Problem Stating
Brief Overview of Adaptive Neuro-Fuzzy Inference System
Nonholonomic Robot's Dynamics
Proposed Control Strategy and Related Architecture
Implementation and Validation Results
Case Study and Simulation Results
Implementation on Real Robot
Conclusion
References
A Multi-Objective Evolutionary Algorithm for Network Intrusion Detection Systems
Introduction
General Operation of Signature-Based Network IDS
MOEA-Snort: A New MOEA for Automatic Rule Generation
Results and Discussion
Conclusions
References
A Cognitive Approach for Robots' Vision Using Unsupervised Learning and Visual Saliency
Introduction
Salient Object Detection and Extraction
Learning and Recognition
Classifiers
On-Line Learning
Results
Conclusion and Further Work
References
Fusing Heterogeneous Data Sources Considering a Set of Equivalence Constraints
Introduction
The Idealized Dissimilarity
Learning a Combination of Dissimilarities from Equivalence Constraints
Experimental Results
Conclusions
References
A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map
Introduction
Methods
Opposite Maps
Simulations and Discussion
Conclusion
References
An Additive Decision Rules Classifier for Network Intrusion Detection
Introduction
Materials and Methods
The Classifier
The Evolutionary Optimizer
Case of Study
Summary
References
Multi-modal Opponent Behaviour Prognosis in E-Negotiations
Introduction
Formal Problem Statement
The Basic Problem Statement
Extension to Support Multi-issue Procedures
The Approximators Employed for Opponent Behaviour Prediction
Experiments and Evaluation
Conclusions
References
Bio-inspired Systems and Neuro-engineering
An AER to CAN Bridge for Spike-Based Robot Control
Introduction
Controller Area Network (CAN)
Actuators and Sensors through CAN
CAN Bridge Architecture and Performance
Conclusions
References
Neuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retina
Introduction
The AER Communication Protocol
USB-AER Board
The Asynchronous Temporal Contrast Silicon Retina
Real Time Object Tracking System
Cascade Architecture
Objects Tracking Procedure
Experiments and Capabilities
Synthetic Stimulus
Synthetic Objects
Conclusion
References
Performance Study of Software AER-Based Convolutions on a Parallel Supercomputer
Introduction
Methodology and Test Cases
Supercomputer CRS (Cluster of Research Support)
Test Image and Successive Divisions
Topology Diagram Implementation
Results and Discussion
Conclusions
References
Frequency Analysis of a 64x64 Pixel Retinomorphic System with AER Output to Estimate the Limits to Apply onto Specific Mechanical Environment
Introduction
64x64 AER Retina Chip
Experimental Methodology
Environment
Maximum Spike Frequency
Maximum Frequency of Requested Directions
Results and Discussions
Conclusions
References
An AER Spike-Processing Filter Simulator and Automatic VHDL Generator Based on Cellular Automata
Introduction
AER Processing Based on Cellular Automata
The C# AER Simulator
Conclusions
References
A Biologically Inspired Neural Network for Autonomous Underwater Vehicles
Introduction
Architecture of the Neural Control System
Self-Organization Direction Mapping Network (SODMN)
Experimental Results
Discussion
Conclusions
References
Hybrid Intelligent Systems
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms
Introduction
Background and Related Work
Instance and Feature Selection
Fuzzy RST for FS
EIS-RFS: Instance and Feature Selection Enhanced by Rough Set Theory
Basic Techniques of EIS-RFS
Hybrid Model for Simultaneous IS and FS
Experimental Framework and Results
Experimental Framework
Results and Analysis
Conclusions
References
Forecasting Based on Short Time Series Using ANNs and Grey Theory - Some Basic Comparisons
Introduction
Statement of the Problem
ANN Application to Forecasting
Implementation of Time Controlled Recurrent ANNs
Feed Forward ANNs Accommodated to Prediction
GM(n,m) Model
Comparison of the Results
Conclusion
References
Short-Term Wind Power Forecast Based on Cluster Analysis and Artificial Neural Networks
Introduction
Proposed Hybrid Estimator
Experiments
Conclusions
References
Back Propagation with Balanced MSE Cost Function and Nearest Neighbor Editing for Handling Class Overlap and Class Imbalance
Introduction
Methodology
A Balanced MSE Cost Function for Backpropagation Algorithm
Editing Techniques
Random Under-Sampling
Experimental Set-Up
Results and Discussion
Conclusion
References
Combination of GA and ANN to High Accuracy of Polarimetric SAR Data Classification
Introduction
Features
Combination of ANN and Genetic Algorithm
Experimental Result
Discussion and Comparisons
Conclusions
References
Gradient Descent Optimization for Routing in Multistage Interconnection Networks
Introduction
Basic Concepts
Gradient Descent Method
Multistage Interconnection Networks
Introducing the Solution
The Energy Function of Neural Network
Analyzing the Behavior of Network to Find Proper Parameters
Upper Trigger Point of a Neuron
Simulation Results
Conclusion
References
The Command Control of a Two-Degree-of-Freedom Platform by Hand Gesture Moment Invariants
Introduction
Experimental Setup and Task Description
Eight Hand Gestures and Their Possible Position
Image Processing for Classification
Probability Neural Network for the Classification
Experiment Results and Discussions
Conclusions
References
Network Intrusion Prevention by Using Hierarchical Self-Organizing Maps and Probability-Based Labeling
Introduction
Attack Classification with GHSOM
SOMs and GHSOMs
BMU Calculation for GHSOM
GHSOM Training and Relabeling
Experimental Results
Conclusions and Future Directions
References
Applications of Computational Intelligence
Human/Robot Interface for Voice Teleoperation of a Robotic Platform
Introduction
System Architecture
Description of the Interface
Characteristics
Speech Recognition
Results
Conclusions and Future Work
References
Graph Laplacian for Semi-supervised Feature Selection in Regression Problems
Introduction
Laplacian Score
Supervised Laplacian Score
Definitions
Illustration
Semi-supervised Laplacian Score
Experimental Results
Conclusions and Future Work
References
Detection of Transients in Steel Casting through Standard and AI-Based Techniques
Introduction
The Industrial Problem
Automatic Transient Detection
Crisp Rules Based Method
Transient Detection through the Use of a Fuzzy Inference System
Feed-Forward Neural Networks for the Identification of Transients
Transient Detection through Wavelet Decomposition
Numerical Results
Conclusions and Future Work
References
Oesophageal Voice Harmonic to Noise Ratio Enhancement over UMTS Networks Using Kalman-EM
Introduction
Methodological Fundamentals
Kalman Filtering with Coloured Measurement Noise
EM Concept
Database
Experiment Design
UMTS/GPRS Channel
Kalman Filtering Block
Harmonic to Noise Ratio (HNR)
Results
Conclusions and Future Work
References
Study of Various Neural Networks to Improve the Defuzzification of Fuzzy Clustering Algorithms for ROIs Detection in Lung CTs
Introduction
Materials
Fuzzy Algorithms Analysed
SFCM (Spatial Fuzzy C-Means)
SKFCM (Spatial Kernelized Fuzzy C-Means)
MKSFCM (Modified Kernelized Spatial Fuzzy C-Means)
Neural Networks and SVM Analysed
Backpropagation Neural Network (BPNN)
Radial Basis Function Neural Network (RBFNN)
Multi-class SVM
Evaluation Metrics
Results
Conclusions
References
Differential Evolution Optimization of 3D Topological Active Volumes
Introduction and Previous Work
Brief Description of Topological Active Nets
Differential Evolution
Results
Hybridization of Differential Evolution and Greedy Search
Conclusions
References
Genetic Algorithms Applied to the Design of 3D Photonic Crystals
Introduction
Genetic Algorithms
Encoding
Selection, Recombination and Mutation
Experimental Results
Conclusions and Future Works
References
Sliding Empirical Mode Decomposition for On-line Analysis of Biomedical Time Series
Introduction
Empirical Mode Decomposition
Sliding EMD
The Principle
Properties of $slidingEMD$
Application of $slidingEMD$ to Brain Status Data
References
Suitability of Artificial Neural Networks for Designing LoC Circuits
Introduction
Artificial Neural Networks for Simulating LoC Components
Artificial Neural Networks for Designing LoC Devices
AND Gate
OR Gate
Inverter
Conclusions and Future Work
References
Aeration Control and Parameter Soft Estimation for a Wastewater Treatment Plant Using a Neurogenetic Design
Introduction
Wastewater Process Control
Neurogenetic Control
Cost Function
Model Based Predictive GA-Control
Neural Network Identification
Results
Conclusions
References
Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA
Introduction
ICA Based Pulse and Step Decomposition
Experiment Setup
Experimental Results and Discussion
Conclusions
References
Early Pigmentary Retinosis Diagnostic Based on Classification Trees
Introduction
The Classification Problem
Classification Trees Problem
Evaluation of the Classifier Accuracy
Case Study: Lost Patterns Classification on an Electroretinogram (ERG) from Phenotypical Characteristics
Results and Discussion
Conclusions
References
New Applications of Brain-Computer Interfaces
Audio-Cued SMR Brain-Computer Interface to Drive a Virtual Wheelchair
Introduction
Methods
Subjects and Data Acquisition
Initial Training and Signal Processing
Navigation Paradigm
Experimental Procedure
Results
Discussion and Conclusion
References
A Domotic Control System Using Brain-Computer Interface (BCI)
Introduction
Data Recording and Subjects
Methodology
Autoregressive Model (AR)
Short-Term Fourier Transform (STFT)
Continuous Wavelet Transform (CWT) Using Complex Morlet Wavelets
µ Rhythm-Matched Filter (MF)
Designed Domotic BCI Application
Results
Feature Extraction Algorithms
Evaluation of the BCI Application by Potential Users
Discussion and Conclusions
References
A Dictionary-Driven SSVEP Speller with a Modified Graphical User Interface
Introduction
Methods and Materials
Subjects
Signal Acquisition
Experimental Setup
Results
Discussion and Conclusion
References
Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control
Introduction
ERD/S-Based Interaction with World of Warcraft
Evaluation of Mental Tasks for Robust Control
Toward Hierarchical Adaptive BCIs for Robotic Control
Conclusion and Future Direction
References
An EEG-Based Design for the Online Detection of Movement Intention
Introduction
Methods
Subjects
Data Acquisition
Paradigm
Online Classifier Implementation
Results
Discussion and Conclusion
References
Auditory Brain-Computer Interfaces for Complete Locked-In Patients
Introduction
Auditory BCIs
Oddball Paradigm: P300
Dichotic Listening
Other Paradigms
BCIs for the Vegetative State
Conclusions
References
Brain-Computer Interface: Generic Control Interface for Social Interaction Applications
Introduction
Material and Methods
Generic Control Interface
P300 Twitter Interface
Results
P300 Twitter Interface
Second Life and Smart Home Control
Discussion
References
Optimization Algorithms in Graphic Processing Units
Variable Selection in a GPU Cluster Using Delta Test
Introduction
Delta Test in Variable Selection
Computation of Delta Test Using Pre-calculated Distances
Computation of Delta Test on GPU
Design of the Genetic Algorithm
GA Operators Description
Parallelizing the GA
Experiments
Cluster Architecture
Comparison with Previous Approaches
Conclusions
References
Towards ParadisEO-MO-GPU: A Framework for GPU-Based Local Search Metaheuristics
Introduction
Parallel GPU-Based S-Metaheuristics
ParadisEO-MO-Based Parallel S-Metaheuristics
Parallel Iteration-Level Model on GPU
The ParadisEO-MO Framework
GPU-Enabled ParadisEO
Architecture of ParadisEO-MO-GPU
A Case Study: Parallel Evaluation of a Neighborhood
Experimentation
Conclusions and Future Work
References
Efficient Simulation of Spatio-temporal Dynamics in Ultrasonic Resonators
Introduction
The Physical Model
The Simulation Algorithm
The CPU Algorithm
The GPU Algorithm
Experimental Results
Conclusions
References
GPU Implementation of a Bio-inspired Vision Model
Introduction
The Bio-inspired Vision Model
Spatial Filtering
Temporal Filtering
GPU Implementation
Spatial Filtering Implementation
Temporal Filtering Implementation
Results
Conclusion and Future Work
References
Bipartite Graph Matching on GPU over Complete or Local Grid Neighborhoods
Introduction
The Auction Algorithm
Parallel Auction Computation on GPU
Neighborhood and Grids
Memory Requirements
Data Structures and Kernels Adaptation
Results
Conclusions
References
GPU Computation in Bioinspired Algorithms: A Review
Introduction
Throughput, Parallelism and GPUs
GPUs Programming
Programming Model
Execution Model
Memory Model
Bioinpired Methods on GPUs
Conclusions
References
Computing Languages with Bio-inspired Devices and Multi-Agent Systems
About Complete Obligatory Hybrid Networks of Evolutionary Processors without Substitution
Introduction
Definitions
Obligatory Hybrid Networks of Evolutionary Processors with Matrix Operations
Conclusions
References
Chemical Signaling as a Useful Metaphor for Resource Management
Introduction
Background and Motivation
Resource Management in Substructural Logic
Our Proposed Model
Completeness of the Model
Discussion
References
Distributed Simulation of P Systems by Means of Map-Reduce: First Steps with Hadoop and P-Lingua
Motivation
Introduction to Map Reduce
Introduction to Hadoop
Distributed Simulation of P Systems
The Simulation of an Example P System
Conclusions
Further Research
References
Hierarchy Results on Stateless Multicounter 5' 3' Watson-Crick Automata
Introduction
Stateless Multicounter WK-Automata
Closure Properties of Nondeterministic Stateless Multicounter WK-Automata Languages
Hierarchies Regarding Nondeterministic Stateless Multicounter WK-Automata
Conclusions
References
Towards a Bio-computational Model of Natural Language Learning
Introduction
Grammatical Inference versus Natural Language Acquisition
Towards a Bio-computational Model of Language Learning
Learning from Corrections
Learning with Semantics
Conclusions
References
Computing Languages with Bio-inspired Devices and Multi-Agent Systems
Introduction
Computing Languages with Multi-Agent Systems
Grammar Systems
Eco-grammar Systems
Colonies
Computing Languages with Bio-inspired Devices
Lindenmayer Systems
DNA Computing
P Systems or Membrane Computing
Computing Languages with Bio-inspired MAS
NEPs-Networks of Evolutionary Processors
Concluding Remarks
References
Computational Intelligence in Multimedia Processing
A Novel Strategy for Improving the Quality of Embedded Zerotree Wavelet Images Transmitted over Alamouti Coding Systems
Introduction
Alamouti Coding Systems
Bit Allocation Strategies
Computer Simulations
Conclusions and Future Work
References
Applying Data Mining Techniques in a Wyner-Ziv to H.264 Video Transcoder
Introduction
Technical Background
Wyner-Ziv Video Codec Architecture
H.264 Inter Prediction
Proposed Transcoder
Performance Evaluation
Conclusions
References
On the Use of Genetic Algorithms to Improve Wavelet Sign Coding Performance
Introduction
Wavelet Sign Prediction
Genetic Algorithm for Wavelet Sign Prediction
Performance Evaluation
Conclusions
References
Kernel-Based Object Tracking Using a Simple Fuzzy Color Histogram
Introduction
Kernel-Based Object Tracking
Tracking Using Fuzzy Color Histograms
Experimental Results
Conclusions
References
Computational Intelligence in Multimedia Processing
Introduction
Shot Detection in Video
Logotype Detection and Learning
Video Copy Detection/Retrieval
Coding Faces in Video Sequences
References
Biologically Plausible Spiking Neural Processing
Isometric Coding of Spiking Haptic Signals by Peripheral Somatosensory Neurons
Introduction
Methods
Metrical Information Theory
Results
Metrical Analysis of Poisson Spike Trains
Isometric Coding of Human Microneurography Haptic Signals
Discussion
References
Context Separability Mediated by the Granular Layer in a Spiking Cerebellum Model for Robot Control
Introduction
Methods
Arm Simulator and Training Trajectory
Control Architecture
Cerebellum Model
Learning Process
Experimental Methods
Results
Conclusions and Future Work
References
Realistic Modeling of Large-Scale Networks: Spatio-temporal Dynamics and Long-Term Synaptic Plasticity in the Cerebellum
Introduction
LTP and LTD Rules
Methods
Results
Discussion
References
Event and Time Driven Hybrid Simulation of Spiking Neural Networks
Introduction
Description of the Time-Driven Simulation Method
The Granular Layer Model
Leaky Integrate-and-Fire Model (LIF)
Hybrid Event-Time Driven Simulation Experiments
Discussion
References
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Advances in Computational Intelligence

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