Adaptive and Natural Computing Algorithms
10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part I
Published on 9. April 2011
XVI, 433 pages
978-3-642-20282-7 (ISBN)
Description
The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first volume includes 42 papers and a plenary lecture and is organized in topical sections on neural networks and evolutionary computation.
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Andrej Dobnikar | Uros Lotric | Branko Ster
Adaptive and Natural Computing Algorithms
10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part I
Book
03/2011
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Title Page
- Preface
- Organization
- Table of Contents - Part I
- Plenary Session
- Autonomous Discovery of Abstract Concepts by a Robot
- Introduction
- Discovery of Abstract Notions with ILP
- Experimental Loop
- Discovering Abstract Concepts by Predicate Invention in ILP
- Experimental Results
- Conclusions
- References
- Neural Networks
- Kernel Networks with Fixed and Variable Widths
- Introduction
- Radial and Kernel Models
- Minimization of Error Functionals
- Scaling of Kernels
- Gaussian Kernels
- References
- Evaluating Reliability of Single Classifications of Neural Networks
- Introduction
- Related Work
- Reliability Estimation
- Local Modeling of Prediction Error
- Local Cross-Validation Reliability Estimator
- Variance of a Bagged Model
- Density-Based Reliability Estimator
- Results
- Testing Methodology
- Typical Cases
- Main Results
- Conclusions
- References
- Nonlinear Predictive Control Based on Multivariable Neural Wiener Models
- Introduction
- Model Predictive Control Algorithms
- Multivariable Neural Wiener Models
- Model Predictive Control Based on Multivariable Neural Wiener Models
- Quadratic Programming MPC Optimisation Problem
- Implementation Details
- Algorithm Summary
- Simulation Results
- Conclusions
- References
- Methods of Integration of Ensemble of Neural Predictors of Time Series - Comparative Analysis
- Introduction
- The Theoretical Basis of Integration of Predictors
- The Averaging
- Principal Component Analysis
- Blind Source Separation
- Application of PCA and Additional Neural Network as an Integrator
- Forecasting the 24-Hour Load Pattern in Power System
- The Results of Individual Predictors
- The Results of Application of an Ensemble
- Forecasting PM10 Pollution for the Next Day
- Conclusions
- References
- A Rejection Option for the Multilayer Perceptron Using Hyperplanes
- Introduction
- Multilayer Perceptron
- Rejection Option
- Rejection Option Using Hyperplanes
- Hyperplanes Calculation
- Experiments and Results
- Conclusions
- References
- Parallelization of Algorithms with Recurrent Neural Networks
- Introduction
- First Translation: Programs to Networks
- Second Translation: Networks to Tuples
- Results and Discussion
- Conclusions
- References
- Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs
- Introduction
- Multilayer Perceptrone Neural Network
- Backpropagation Learning
- Parallelized Neural Network Training
- Parallel Backpropagation Learning
- Multithreaded Training Implementation
- Simulations and Results
- Datasets Used for Simulations
- Efficiency of Parallelization
- Conclusions
- References
- Supporting Diagnostics of Coronary Artery Disease with Neural Networks
- Introduction
- Methods
- Stepwise Diagnostic Process
- Image Classification with Neural Networks
- ArTex and ARes Algorithms for Multi-resolution Image Parameterization
- Materials
- Scintigraphic Images
- Results
- Results in CAD Diagnostics
- Explaining the Neural Network's Predictions by Evaluation of Individual Attribute's Contributions
- Discussion
- References
- The Right Delay Detecting Specific Spike Patterns with STDP and Axonal Conduction Delays
- Introduction
- Spike-Timing-Dependent Plasticity
- Materials and Methods
- The Neuron Model
- The Network
- STDP Implementation
- Detecting Specific Spatio-Temporal Spike Patterns
- Discussion
- References
- New Measure of Boolean Factor Analysis Quality
- Introduction
- Generative Model of Boolean Factor Analysis
- Information Gain
- Probabilities Estimation
- Properties of Information Gain
- Summary
- References
- Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing
- Introduction
- Neural Model
- Method for Motion Discontinuity Detection
- Model of Contextual Enhancement
- Model of Diffusion Process
- Combination of Methods
- Results
- Moving Box
- "Yosemite with Clouds" Sequence
- Discussion and Conclusions
- References
- Self-organized Short-Term Memory Mechanism in Spiking Neural Network
- Introduction
- Stabilizing Spiking Neuron (SS Neuron)
- Synaptic Plasticity
- Network
- Spatio-temporal Patterns and Short-Term Memory
- Experiments
- Results
- Conclusion
- References
- Approximation of Functions by Multivariable Hermite Basis: A Hybrid Method
- Introduction
- Approximation Framework
- One-Variable Hermite Functions
- Multivariable Function Approximation
- Multivariable Hermite Basis
- Scaling Parameters
- Basis Selection
- Examples
- Conclusions
- References
- Using Pattern Recognition to Predict Driver Intent
- Introduction
- Benefit of Gaze as a Data Source
- Manoeuvre Recognition
- Patterns of Gaze Behaviour
- Simulator Study
- Driving Task
- Equipment
- Data Processing
- Artificial Neural Networks
- Analysis and Results
- Conclusion
- References
- Neural Networks Committee for Improvement of Metal's Mechanical Properties Estimates
- Introduction
- Problem Statement and Data Analysis
- Neural Networks Committee
- Train Procedure
- Stability of the Committee Decision
- Conclusion
- References
- Logarithmic Multiplier in Hardware Implementation of Neural Networks
- Introduction
- Iterative Logarithmic Multiplier
- Mathematical Formulation
- Hardware Implementation
- Multilayer Perceptron with Highly Parallel Neural Unit
- Experimental Work
- Conclusion
- References
- Efficiently Explaining Decisions of Probabilistic RBF Classification Networks
- Introduction
- Explanation Methods
- Method EXPLAIN
- Method IME
- Probabilistic RBF Networks
- Marginalization of PRBF
- Instance Level and Model Level Explanation of PRBF
- Conclusions
- References
- Evolving Sum and Composite Kernel Functions for Regularization Networks
- Introduction
- Regularization Networks
- Sum and Composite Kernel Functions
- Genetic Parameter Search
- Experiments
- Conclusion
- References
- Optimisation of Concentrating Solar Thermal Power Plants with Neural Networks
- Introduction
- The Simulation of CSP Plants
- The Energetic Model of a CSP Plant
- The Economic Model of a CSP Plant
- Use of Genetic Algorithms to Optimise Solar Plants
- Improvements of the Optimisation
- Bilinear Interpolation
- Artificial Neural Networks
- Experimental Results
- Conclusion and Outlook
- References
- Emergence of Attention Focus in a Biologically-Based Bidirectionally-Connected Hierarchical Network
- Introduction
- Our Approach
- A Closer Look at the Network Used in the Simulations
- Data Set
- Procedure
- Results and Analysis
- Multiple Objects without Any Attention
- Multiple Objects with Bottom-Up Attentional Effects
- Multiple Objects with Both Bottom-Up as Well as Top-Down Attentional Effect
- Conclusions
- References
- Visualizing Multidimensional Data through Multilayer Perceptron Maps
- Introduction
- Multidimensional Data Visualization
- Data Mapping through Multilayer Perceptrons
- Results
- Conclusion
- References
- Input Separability in Living Liquid State Machines
- Introduction
- Motivation
- Neuronal Cell Cultures
- Data Acquisition and Stimulation System
- Living Reservoir LSM Experiment
- Method Details
- Classification of LNN Responses to Sensory Input
- Stimulus Artifact Suppression Techniques
- Response Classification and Determination of Separable Pattern Subsets
- Classifier Parameter Optimization
- Genetic Algorithm-Based Approach for Finding Best Pattern Subsets
- Results
- Conclusions and Future Work
- Closed-Loop Input Pattern Separability Optimization
- Characteristics of Separable Patterns
- References
- Predictive Control of a Distillation Column Using a Control-Oriented Neural Model
- Introduction
- Model Predictive Control Algorithms
- Classical Linear MPC of a Distillation Column
- Nonlinear MPC Using Control-Oriented Neural Model
- Control-Oriented Neural Model
- Neural Models and Training
- Nonlinear MPC of a Distillation Column
- Conclusions
- References
- Neural Prediction of Product Quality Based on Pilot Paper Machine Process Measurements
- Introduction
- Related Work
- Pilot Paper Machine Experiments
- Method for Predicting Quality from Process State
- Trial Point Selection and Preprocessing
- Neural Model
- Results
- Discussion
- References
- A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors
- Multiple Behaviors in a Fixed-Weight Neural Network
- A Programmable Fixed-Weight CTRNN
- A Multiplicative CTRNN
- A Programmable Neural Network for Robot Control
- The Robotic Scenario
- Discussion
- References
- Self-Organising Maps in Document Classification: A Comparison with Six Machine Learning Methods
- Introduction
- The Data Sets
- Data Set 1: Reuters-21578, Mod Apte Split
- Data Set 2: 20 Newsgroups, Matlab/Octave
- Data Set 3: Spanish CLEF 2003
- Preprocessing
- Document Classification with Self-Organising Map
- The Baseline Methods
- Results
- Conclusions and Discussion
- References
- Analysis and Short-Term Forecasting of Highway Traffic Flow in Slovenia
- Introduction
- Traffic Flow Data
- Traffic Flow Data Analysis
- Forecasting Framework
- Benchmark Models
- ARIMA and Neural Network Models
- Forecasting Results
- Conclusions
- References
- Evolutionary Computation
- A New Method of EEG Classification for BCI with Feature Extraction Based on Higher Order Statistics of Wavelet Components and Selection with Genetic Algorithms
- Introduction
- Dataset Description
- Proposed Feature Extraction Method Based on DWT and HOS
- Proposed Feature Selection Method Based on Genetic Algorithms
- Conclusion
- References
- Regressor Survival Rate Estimation for Enhanced Crossover Configuration
- Introduction
- Related Work
- Regressor Based Hierarchical Representation
- Fuzzy Controlled Encapsulation
- Variable Size and Shape Schemata
- Application
- Conclusions
- References
- A Study on Population's Diversity for Dynamic Environments
- Introduction
- Evolutionary Algorithms
- Genetic Operators
- Dynamic Test Environments
- Experimental Study
- Experimental Design
- Results on Cyclic Environments
- Results on Random Environments
- Conclusions
- References
- Effect of the Block Occupancy in GPGPU over the Performance of Particle Swarm Algorithm
- Introduction
- Related Work
- Methods and Materials
- GPGPU Cards
- ParallelModels of Evolutionary Algorithm
- Particle Swarm Optimizer
- Production Setup
- Analysis and Results
- Conclusion and Future Work
- References
- Two Improvement Strategies for Logistic Dynamic Particle Swarm Optimization
- Introduction
- Logistic Dynamic Particle Swarm Optimization
- Canonical PSO
- Logistic Dynamic PSO
- Two Improvement Strategies on LDPSO
- Mutation Strategy Based Improvement
- Selection Strategy Based Improvement
- Experiment and Analysis
- Experiment Setting
- Comparison between LDPSO and Canonical PSO
- Performance of Mutation Strategy
- Performance of Selection Strategy
- Conclusion
- References
- Digital Watermarking Enhancement Using Wavelet Filter Parametrization
- Introduction
- Digital Watermarking in the DWT Domain
- Genetic-Based Digital Image Watermarking Enhancement
- Embedding Algorithm
- Wavelet Parametrization
- Wavelet Synthesis Algorithm
- Experimental Results
- Conclusions
- References
- CellularDE: A Cellular Based Differential Evolution for Dynamic Optimization Problems
- Introduction
- Differential Evolution
- The Proposed Algorithm
- Memory of the Cells
- Cellular Differential Evolution
- Maintaining Diversity of Population
- Dealing with the Change
- Experiments
- Moving Peaks Benchmark
- Experimental Settings
- Experimental Results
- Conclusion
- References
- Optimization of Topological Active Nets with Differential Evolution
- Introduction and Previous Work
- Brief Description of Topological Active Nets
- Differential Evolution
- Results
- Comparison with a Genetic Algorithm
- Hybridization of Differential Evolution and Greedy Search
- Conclusions
- References
- Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution
- Introduction
- Pseudorandom Number Generation in Evolutionary Methods
- Empirical Framework
- Numerical Results and Analysis
- Conclusions and Further Work
- References
- Sensitiveness of Evolutionary Algorithms to the Random Number Generator
- Introduction
- Related Work
- Random Number Generator
- The Random Number Generators Tested
- Evolutionary Algorithms
- Statistical Inference
- Non-parametric Statistical Inference
- Production Setup
- Results and Analysis
- Conclusions and Future Work
- References
- New Efficient Techniques for Dynamic Detection of Likely Invariants
- Introduction
- Daikon Algorithm
- Problem Space
- Daikon Disadvantage
- New Ideas for Improving Invariant Detection
- The First Idea
- The Second Idea
- Comparison of the Results
- Conclusion and Further Works
- References
- Classification Ensemble by Genetic Algorithms
- Introduction
- Background
- Classifier Ensemble
- Genetic Algorithm
- Regression
- Related Works
- Dynamic Estimation of the Best Local Classifier
- Estimation of Competence Regions
- Proposed Method
- Problem Definition
- Challenges of the Problem
- Genetic Algorithm Based Classifier Ensemble
- Experimental Results
- References Datasets
- Parameters Setting
- Conclusion
- References
- Simulated Evolution (SimE) Based Embedded System Synthesis Algorithm for Electric Circuit Units (ECUs)
- Introduction
- Previous Work
- Proposed Algorithm
- SimE for the ECU Synthesis Problem
- Scheduling Algorithms
- Fault Tolerance (FT) Schemes
- Simulations
- Conclusion
- References
- Taxi Pick-Ups Route Optimization Using Genetic Algorithms
- Introduction
- Asymmetric Travel Salesman Problem
- Mathematical Formulation of the Problem
- Methodology
- GA Parameters
- Fitness Function
- Implementation
- Experimental Results
- Conclusion and Future Work
- References
- Optimization of Gaussian Process Models with Evolutionary Algorithms
- Introduction
- Modeling with Gaussian Processes
- Evolutionary Algorithms
- Genetic Algorithm
- Differential Evolution
- Particle Swarm Optimization
- Experiments and Results
- Conclusion
- References
- Author Index
