Engineering Applications of Neural Networks : 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011…

Table of Contents

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   Book Overview
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   Chapter 1 ART-Based Fusion of Multi-modal Information for Mobile Robots
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   Chapter 2 Vision-Based Autonomous Navigation Using Supervised Learning Techniques
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   Chapter 3 SOM-Based Clustering and Optimization of Production
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   Chapter 4 Behavioral Profiles for Building Energy Performance Using eXclusive SOM
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   Chapter 5 Hypercube Neural Network Algorithm for Classification
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   Chapter 6 Improving the Classification Performance of Liquid State Machines Based on the Separation Property
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   Chapter 7 A Scale-Changeable Image Analysis Method
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   Chapter 8 Induction of Linear Separability through the Ranked Layers of Binary Classifiers
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    Chapter 9 Classifying the Differences in Gaze Patterns of Alphabetic and Logographic L1 Readers – A Neural Network Approach
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    Chapter 10 Subspace-Based Face Recognition on an FPGA
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    Chapter 11 A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery
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    Chapter 12 Neural Network Rule Extraction to Detect Credit Card Fraud
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    Chapter 13 A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System
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    Chapter 14 Employing Smart Logic to Spot Audio in Real Time on Deeply Embedded Systems
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    Chapter 15 Quantization of Adulteration Ratio of Raw Cow Milk by Least Squares Support Vector Machines (LS-SVM) and Visible/Near Infrared Spectroscopy
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    Chapter 16 Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation
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    Chapter 17 Time-Frequency Analysis of Hot Rolling Using Manifold Learning
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    Chapter 18 Application of Radial Bases Function Network and Response Surface Method to Quantify Compositions of Raw Goat Milk with Visible/Near Infrared Spectroscopy
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    Chapter 19 Transferring Models in Hybrid Reinforcement Learning Agents
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    Chapter 20 Anomaly Detection from Network Logs Using Diffusion Maps
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    Chapter 21 Large Datasets: A Mixed Method to Adapt and Improve Their Learning by Neural Networks Used in Regression Contexts
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    Chapter 22 Evolutionary Algorithm Optimization of Edge Delivery Sites in Next Generation Multi-service Content Distribution Networks
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    Chapter 23 Application of Neural Networks to Morphological Assessment in Bovine Livestock
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    Chapter 24 Object Segmentation Using Multiple Neural Networks for Commercial Offers Visual Search
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    Chapter 25 Method for Training a Spiking Neuron to Associate Input-Output Spike Trains
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    Chapter 26 Two Different Approaches of Feature Extraction for Classifying the EEG Signals
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    Chapter 27 An Ensemble Based Approach for Feature Selection
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    Chapter 28 A New Feature Extraction Method Based on Clustering for Face Recognition
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    Chapter 29 A Recurrent Neural Network Approach for Predicting Glucose Concentration in Type-1 Diabetic Patients
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    Chapter 30 Segmentation of Breast Ultrasound Images Using Neural Networks
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    Chapter 31 Knowledge Discovery and Risk Prediction for Chronic Diseases: An Integrated Approach
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    Chapter 32 Permutation Entropy for Discriminating ‘Conscious’ and ‘Unconscious’ State in General Anesthesia
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    Chapter 33 Determining Soil – Water Content by Data Driven Modeling When Relatively Small Data Sets Are Available
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    Chapter 34 A Neural Based Approach and Probability Density Approximation for Fault Detection and Isolation in Nonlinear Systems
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    Chapter 35 A Neural Network Tool for the Interpolation of foF2 Data in the Presence of Sporadic E Layer
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    Chapter 36 Neural Networks Approach to Optimization of Steel Alloys Composition
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    Chapter 37 Predictive Automated Negotiators Employing Risk-Seeking and Risk-Averse Strategies
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    Chapter 38 Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural Networks
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    Chapter 39 NNIGnets, Neural Networks Software
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    Chapter 40 Key Learnings from Twenty Years of Neural Network Applications in the Chemical Industry
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    Chapter 41 Incremental – Adaptive – Knowledge Based – Learning for Informative Rules Extraction in Classification Analysis of aGvHD
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    Chapter 42 An Intelligent Approach to Detect Probe Request Attacks in IEEE 802.11 Networks
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    Chapter 43 An Intelligent Keyboard Framework for Improving Disabled People Computer Accessibility
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    Chapter 44 Finding 3G Mobile Network Cells with Similar Radio Interface Quality Problems
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    Chapter 45 Analyzing 3G Quality Distribution Data with Fuzzy Rules and Fuzzy Clustering
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    Chapter 46 Adaptive Service Composition for Meta-searching in a Mobile Environment
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    Chapter 47 Simulation of Web Data Traffic Patterns Using Fractal Statistical Modelling
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    Chapter 48 Mathematical Models of Dynamic Behavior of Individual Neural Networks of Central Nervous System
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    Chapter 49 Towards Optimal Microarray Universal Reference Sample Designs: An In-Silico Optimization Approach
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    Chapter 50 Information-Preserving Techniques Improve Chemosensitivity Prediction of Tumours Based on Expression Profiles
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    Chapter 51 Optimizing Filter Processes on Protein Interaction Clustering Results Using Genetic Algorithms
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    Chapter 52 Adaptive Filtering Techniques Combined with Natural Selection-Based Heuristic Algorithms in the Prediction of Protein-Protein Interactions
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    Chapter 53 Investigation of Medication Dosage Influences from Biological Weather
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    Chapter 54 Combination of Survival Analysis and Neural Networks to Relate Life Expectancy at Birth to Lifestyle, Environment, and Health Care Resources Indicators
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    Chapter 55 An Artificial Intelligence-Based Environment Quality Analysis System
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    Chapter 56 Personalized Information Services for Quality of Life: The Case of Airborne Pollen Induced Symptoms
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    Chapter 57 Fuzzy Modeling of the Climate Change Effect to Drought and to Wild Fires in Cyprus