Engineering Applications of Neural Networks

Name: Engineering Applications of Neural Networks | 12th International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings, Part I
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12th International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings, Part I

Lazaros S. Iliadis Chrisina Jayne(Herausgeber*in)

Springer (Verlag)

Erschienen am 15. September 2011

XXIV, 532 Seiten

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Inhalt

Title
Preface
Organization
Table of Contents
Computer Vision and Robotics
ART-Based Fusion of Multi-modal Information for Mobile Robots
Introduction
Related Work
Our Approach
Basic Principles of ART Networks
Simplified Fuzzy ARTMAP (SFAM)
Simplified Fusion ARTMAP (SiFuAM)
Evaluation
Data Collection
Results
Conclusion and Future Work
References
Vision-Based Autonomous Navigation Using Supervised Learning Techniques
Introduction
Related Works
Proposed Method
Image Processing Step
Template Matching Step
Finite State Machine Step
Template Memory Step
Experimental Results
Conclusion and Future Works
References
Self Organizing Maps
SOM-Based Clustering and Optimization of Production
Introduction
Data
Collecting Data
Data Preprocessing
Clustering Algorithms
Hierarchical Clustering
K-means
SOM
Evaluation of Clustering Results
Clustering Results
Hierarchical Clustering
K-means
SOM
Comparison of Clustering Results
Application of Clustering Results
Interpretation of Clustering Results
Finalization of Production Clusters
Conclusions
References
Behavioral Profiles for Building Energy Performance Using eXclusive SOM
Introduction
Behaviour Profiles and Uncertainties in Their Discovery
eXclusive SOM (XSOM)
Case Study: Water Consumption Profiling
Water Consumption Database
Experiments and Parametrization of Clustering Methods
Results
Conclusions and Discussion
References
Classification - Pattern Recognition
Hypercube Neural Network Algorithm for Classification
Introduction
Hypercube Neural Network Algorithm
Hypercube without Neurons
Hypercube with Simple Neurons
Hypercube with Adaptive Activation Functions
Experiments and Results
Data Sets
Experiments
Results
Conclusions
References
Improving the Classification Performance of Liquid State Machines Based on the Separation Property
Introduction
Separation Measure
Genetic Algorithm Based Liquid Evolution
Experimental Results
Measure Evaluation
Liquid Optimization
Discussion
References
A Scale-Changeable Image Analysis Method
Introduction
Formulations of the Multi-layer Computational Model Based on nCRF
A Computational Model for RF Self-adaptive Adjusting Dynamically
Experiments Results
The Relationship between Entropy and Number of RF
Multiscale Image Representation Using nCRF
Discussion
References
Induction of Linear Separability through the Ranked Layers of Binary Classifiers
Introduction
Separable Learning Sets
Layers of Binary Classifiers
Properties of the Ranked Layers of Binary Classifiers
Examples of Implementations of the Ranked Layer Designing Procedure
Concluding Remarks
References
Classifying the Differences in Gaze Patterns of Alphabetic and Logographic L1 Readers - A Neural Network Approach
Introduction
Eye Movements in Reading
Data Collection
Multilayer Perceptron Classification
Contribution of Data Components
Conclusions
References
Subspace-Based Face Recognition on an FPGA
Introduction
Design
Algorithm and Testing
Architecture
Hardware Platform
Implementation of BDPCA
Implementation of LDA
Implementation of the Classifier
Experimental Results
Conclusions
References
A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery
Introduction
Vector Filtering for Color Images
Dimensionality Reduction Algorithms and Self-Organizing Feature Maps
A Window-Based 2-D SOFM Model for Rendering Color Correlation
Model Formulation
Clustering
Segmentation
Numerical Simulations
Original Images
Initialization and Training
Clustering and Segmentation
Discussion
References
Financial and Management Applications of AI
Neural Network Rule Extraction to Detect Credit Card Fraud
Introduction
Payment Card Fraud
Mission Critical Application
Rule Generation
SOAR Extraction
Extended SOAR Extraction
Experimental Results
Pre-processing and Sampling
Neural Network Training
Rule Extraction
Analysis
Conclusions
References
Fuzzy Systems
A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System
Introduction
An Agent-Based Architecture to Model Military Operations
A Neuro-Fuzzy Hybridization Approach to Weather Prediction
Results Discussion
Conclusions
References
Employing Smart Logic to Spot Audio in Real Time on Deeply Embedded Systems
Premises
Introduction
Framework of Audio-Spotting System
Audio Feature Measurements
Audio Segmentation and Indexing Based on Fuzzy Logic
DTW-Based Audio Spotter
Conclusion
References
Support Vector Machines
Quantization of Adulteration Ratio of Raw Cow Milk by Least Squares Support Vector Machines (LS-SVM) and Visible/Near Infrared Spectroscopy
Introduction
Materials and Methods
Sample Preparation
LS-SVM
Performance Evaluation
Results and Discussion
Composition of Samples
Grid Search for Training Data and Testing Data
Conclusion
References
Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation
Introduction
Materials and Methods
Obtaining the Experimental Data
5-Fold-Cross Validation
e-SV Regression (e-SVR)
Fuzzy Weighted Support Vector Regression
Application
Performing Trial and Error for the Gaussian Kernel
Discussion - Comparative Analysis
References
Learning and Novel Algorithms
Time-Frequency Analysis of Hot Rolling Using Manifold Learning
Introduction
Spectrogram Analysis Using Manifold Learning
Computation of ISOMAP Projections
Feature Extraction and Visualization
Experiment
Results
Conclusions
References
Reinforcement and Radial Basis Function ANN
Application of Radial Bases Function Network and Response Surface Method to Quantify Compositions of Raw Goat Milk with Visible/Near Infrared Spectroscopy
Introduction
Materials and Methods
Sample Preparation
Radial Basis Function Networks
Response Surface Method
Results and Discussion
RSM and RBN Performance
Conclusion
References
Transferring Models in Hybrid Reinforcement Learning Agents
Introduction
Learning the Model of a Source Task
Transfer Learning with TiMRLA
Model-Based Learning
Direct Learning
Transfer Learning
Experiments
Generalized Mountain Car
Setup
Results and Discussion
Related Work
Conclusions and Future Work
References
Machine Learning
Anomaly Detection from Network Logs Using Diffusion Maps
Introduction
Method
Feature Extraction
Dimensionality Reduction
Anomaly Detection
Results
Data Acquisition
Data Analysis
Conclusion
References
Large Datasets: A Mixed Method to Adapt and Improve Their Learning by Neural Networks Used in Regression Contexts
Introduction
Extraction of a Representative Set from Massive Data
Conservation of the Global Aspect of the Signal
Conservation of the Particularities of the Signal
Homogeneous Density of the Complexity Classes
Global Building of the Dataset
Experimental Results
Generic Function
Radiotherapy Context
Conclusion and Future Work
References
Evolutionary Genetic Algorithms - Optimization
Evolutionary Algorithm Optimization of Edge Delivery Sites in Next Generation Multi-service Content Distribution Networks
Introduction
Multiobjective Optimization with Evolutionary Algorithms
Analytical Formulation
Scenarios
Outline of the Algorithm
Encoding Schemes for Crossover and Mutation
Fitness Considerations
Numerical Simulations
Conclusion
References
Application of Neural Networks to Morphological Assessment in Bovine Livestock
Introduction
First Stage: Image Analysis
Second Stage: Neural Network
Experiments and Results
First Stage
Second Stage: Assessment
References
Web Applications of ANN
Object Segmentation Using Multiple Neural Networks for Commercial Offers Visual Search
Introduction
The Proposed Application
Object Segmentation
Object Colors
Object Textures
Experiments
Datasets
Object Segmentation
Object Color
Object Texture
Conclusions
References
Spiking ANN
Method for Training a Spiking Neuron to Associate Input-Output Spike Trains
Introduction
Learning Method
Neural and Synaptic Model
Experimental Results
Demonstration of the Learning Rule
Classification of Spatio-temporal Data
Conclusion
References
Feature Extraction - Minimization
Two Different Approaches of Feature Extraction for Classifying the EEG Signals
Introduction
Method 1: Feature Extraction of Events
Model Generation Method
Method 2: Feature Extraction Using Wavelet Transform
Evaluation/Conclusion
References
An Ensemble Based Approach for Feature Selection
Introduction
Proposed Algorithm
Experimental Results
Conclusion
References
A New Feature Extraction Method Based on Clustering for Face Recognition
Introduction
Clustering Based Feature Extraction Algorithm
Formulation
Similarity Measure
Feature Extraction Schema
Experimental Results
Conclusion
References
Medical Applications of AI
A Recurrent Neural Network Approach for Predicting Glucose Concentration in Type-1 Diabetic Patients
Introduction
Subjects and Dataset
The Proposed Algorithm
Evaluation Metrics
Experiments and Results
Performance Comparisons
Discussion
Conclusion
References
Segmentation of Breast Ultrasound Images Using Neural Networks
Introduction
Image Thresholding
Neural Network Segmentation
Scale Invariant Feature Transform (SIFT)
Level Set Segmentation (LS)
Proposed Approaches
Detection Algorithm
SIFT Descriptors Neural Network (DNN)
SIFT Texture Neural Network (TNN)
Training the Neural Network
Testing the Neural Network
Experiments and Results
Conclusions
References
Knowledge Discovery and Risk Prediction for Chronic Diseases: An Integrated Approach
Introduction
Chronic Disease Ontology
Type 2 Diabetes Personalized Risk Evaluation System
Step 1: Selection of Features for Building the Personalized Risk Evaluation System for Type-2 Diabetes
Step2: Building Personalized Risk Evaluation Model
Integration Framework for Chronic Disease Ontology and Personalized Modeling
Conclusions and Future Plans
References
Permutation Entropy for Discriminating 'Conscious' and 'Unconscious' State in General Anesthesia
Introduction
Methods
Dataset
Permutation Entropy
Support Vector Machines
Data Analysis
Results
Conclusion
References
Environmental and Earth Applications of AI
Determining Soil - Water Content by Data Driven Modeling When Relatively Small Data Sets Are Available
Introduction
Methodology
Study Area and Data Collection
Results
Conclusions
References
A Neural Based Approach and Probability Density Approximation for Fault Detection and Isolation in Nonlinear Systems
Introduction
The Neural Model
Training Algorithm
Diagnostic Approach
Density Estimation
Fault Isolability Analysis
Experiments
Conclusion
References
A Neural Network Tool for the Interpolation of foF2 Data in the Presence of Sporadic E Layer
Introduction
Measurement of F2 Layer Critical Frequency and Total Electron Content
Characteristics of the F2 Layer Critical Frequency and Total Electron Content
Model Parameters
Experiments and Results
Conclusions and Future Work
References
Multi Layer ANN
Neural Networks Approach to Optimization of Steel Alloys Composition
Introduction
Experimental Data Set
Neural Network Models of Steel Characteristics
Optimization Procedure
Optimization of Steel Compositions
First Optimization Task
Second Optimization Task
References
Predictive Automated Negotiators Employing Risk-Seeking and Risk-Averse Strategies
Introduction
Definitions, Terminology and Related Work
Extending the Strategy of Predictive Agents to Support Multi-issue (Automated) Negotiations Incorporating Different Risk Attitudes
Forecasting Tools Employed by Predictive Agents
Experiments: Measuring Outcomes with Respect to the Different Types of Risk Attitudes
Evaluation of Negotiation Results with Respect to Agent Behavior after Detection of MP
Empirical Search of (Sub)Optimal Network Architectures Considering the Two Cases
Conclusions and Future Research
References
Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural Networks
Introduction
G0 Prediction by DMT
Data Set, Experiments and Results
Conclusions
References
NNIGnets, Neural Networks Software
Introduction
Model Description
ANN Inputs - Settings Menu
ANN Outputs - Results Menu
Conclusions
References
Key Learnings from Twenty Years of Neural Network Applications in the Chemical Industry
Introduction
Neural Networks as an Empirical Process Modeling Tool
Use Both Training and Test Data to Find Model Complexity
Three Train/Test Methods: Scattergun, Train and Grow, and Early Stopping
A Complexity Criterion Using Both Train and Test Errors
An Empirical Model Is Better Than the Data Show
Simple Linear Example: Numerical Simulations
Synergies to Increase the Use of Neural Networks in Industry
Summary
References
Bioinformatics
Incremental - Adaptive - Knowledge Based - Learning for Informative Rules Extraction in Classification Analysis of aGvHD
Introduction
Experimental Data
Gene Selection: CFS
Gene Selection: Wrapper Methods
Connectionist Model Proposed for Knowledge Discovery Using the Selected Gene Diagnostic Markers
Results
Biomedical Conclusions and Future Work
References
The Applications of Soft Computing to Telecommunications (ASCOTE) Workshop
An Intelligent Approach to Detect Probe Request Attacks in IEEE 802.11 Networks
Introduction
Related Work
WLAN Security and Probe Request Attacks
The Philosophy
WLAN Environment and Computer Simulation Prototype
Simulation Results and Discussion
Conclusion
References
An Intelligent Keyboard Framework for Improving Disabled People Computer Accessibility
Introduction
Intelligent Keyboard Hybrid Framework
Intelligent Keyboard Framework Demonstration Using N-Gram Focused Time-Delay Neural Network Modeling
Modeling Data Sets
N-Gram Focused Time-Delay Neural Network Modeling
Simulation with Plain Text Data Using Dataset One
N-Gram Prediction with Typing Data Using Dataset Two
Conclusion
References
Finding 3g Mobile Network Cells with Similar Radio Interface Quality Problems
Introduction
Radio Interface Performance Data
Scaling
Problem Detection
Distance Based Detection
One-Class Support Vector Machine
Results of Problem Detection
Problem Categorization for Quality Monitoring
Conclusion
References
Analyzing 3G Quality Distribution Data with Fuzzy Rules and Fuzzy Clustering
Introduction
Quality Variable Distributions
Quality Classification with Fuzzy Rules
Quality Classification with Fuzzy Clustering
Tracking the Changes in Quality Behavior
Conclusion
References
Adaptive Service Composition for Meta-searching in a Mobile Environment
Introduction
The WebPADS Platform
Systems Architecture
Active Service Composition
Adaptation Rules
Conclusion
References
Simulation of Web Data Traffic Patterns Using Fractal Statistical Modelling
Introduction
Characterising Heavy-Tail Behaviour of Web Data Traffic
Log-Normal Distribution
Pareto Distribution
EDF Test
Data Traffic Collection
Results and Discussion
Traffic Data in Byte Sent by Originator
Traffic Data in Byte Sent by Responder
Conclusions
References
Computational Intelligence Applications in Bioinformatics (CIAB) Workshop
Mathematical Models of Dynamic Behavior of Individual Neural Networks of Central Nervous System
Introduction
Individual Neural Networks with Excitatory Synapses
Changes at the Network's Behavior
Varying the Number of Neurons N
Varying the Number of Synapses µ per Neuron
Varying the Triggering Threshold of Neurons ?
Varying the Synaptic Weight w
Individual Neural Networks with Excitatory Synapses and r = 1
Asynchronous Individual Neural Networks with Excitatory Synapses and r = 1, t = 1
Conclusions
References
Towards Optimal Microarray Universal ReferenceSample Designs: An In-Silico Optimization Approach
Introduction
Background to the URR Sample Design
Towards Optimal Reference Sample Designs
The Optimization Methodology
Experiments
Results and Discussion
Concluding Remarks
References
Information-Preserving Techniques Improve Chemosensitivity Prediction of Tumours Based on Expression Profiles
Introduction
Data and Problem Description
Improving the Estimation of GI50
Comparison of Regression versus Classification
Biological Interpretation of the Molecular Signatures
Conclusion
References
Optimizing Filter Processes on Protein Interaction Clustering Results Using Genetic Algorithms
Introduction
Our Method
Optimizing Clustering Results Filter
Experimental Results
Conclusions
References
Adaptive Filtering Techniques Combined with Natural Selection-Based Heuristic Algorithms in the Prediction of Protein-Protein Interactions
Introduction
Materials and Methods
Dataset
Adaptive Filtering Techniques
Heuristic Methods
Evaluation in the Hybrid Methodology
Experimental Results
Conclusions
References
Informatics and Intelligent Systems Applications for Quality of Life information Services (ISQLIS) Workshop
Investigation of Medication Dosage Influences from Biological Weather
Introduction
Materials and Methods
Study Area
Pollen Collection and Identification and Air Quality Monitoring
Exploration of the Initial Dataset
Methods
Results and Discussion
SOM Analysis of the Initial Dataset
Decision Trees Application
Conclusions
References
Combination of Survival Analysis and Neural Networks to Relate Life Expectancy at Birth to Lifestyle, Environment, and Health Care Resources Indicators
Introduction
Materials and Methods
Results-Discussion
Conclusions
References
An Artificial Intelligence-Based Environment Quality Analysis System
Introduction
Environmental Forecasting and Analysis
Artificial Intelligence and Environment Quality Analysis
Literature Review
The INTELLEnvQ System
Case Studies
Flood Forecasting
Air Quality Analysis
Conclusion
References
Personalized Information Services for Quality of Life: The Case of Airborne Pollen Induced Symptoms
Introduction
Materials and Methods
Data Presentation
Computational Intelligence Methods
Feature Selection
Training and Evaluation
Results and Discussion
Conclusions and Future Work
References
Fuzzy Modeling of the Climate Change Effect to Drought and to Wild Fires in Cyprus
Introduction
Area of Research, Changes in the Climate Conditions
Literature Review
Materials and Methods
Data Vectors and Data Gathering
A Fuzzy Inference System for the Determination of DRI
Fuzzy Degree Membership Functions
Average Monthly Maximum Heat Index
Using Geographic Information Systems ArcGIS
Defining Zone Areas Using GIS
Results
Results Related to Drought Indices
Results Related to the Heat Index
Results Related to Forest Fire Risk
Discussion
References
Author Index

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