Adaptive and Natural Computing Algorithms 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
|
| Σειρά: | Lecture Notes in Computer Science,
5495 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Neural Networks
- Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation
- On Tractability of Neural-Network Approximation
- Handling Incomplete Data Using Evolution of Imputation Methods
- Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping
- Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons
- Some Enhancements to Orthonormal Approximation of 2D Functions
- Shortest Common Superstring Problem with Discrete Neural Networks
- A Methodology for Developing Nonlinear Models by Feedforward Neural Networks
- A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models
- Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models
- Parallel Implementations of Recurrent Neural Network Learning
- Growing Competitive Network for Tracking Objects in Video Sequences
- Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps
- Network Security Using Growing Hierarchical Self-Organizing Maps
- On Document Classification with Self-Organising Maps
- Evolutionary Computation
- A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices
- Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms
- Elitistic Evolution: An Efficient Heuristic for Global Optimization
- Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps
- Grid-Oriented Scatter Search Algorithm
- Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem
- Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation
- Time-Dependent Performance Comparison of Evolutionary Algorithms
- Multiobjective Genetic Programming for Nonlinear System Identification
- NEAT in HyperNEAT Substituted with Genetic Programming
- Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography
- Estimation of Sensor Network Topology Using Ant Colony Optimization
- Learning
- Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks
- A Hierarchical Classifier with Growing Neural Gas Clustering
- A Generative Model for Self/Non-self Discrimination in Strings
- On the Efficiency of Swap-Based Clustering
- Sum-of-Squares Based Cluster Validity Index and Significance Analysis
- Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
- String Distances and Uniformities
- Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts
- Efficient Hold-Out for Subset of Regressors
- Improving Optimistic Exploration in Model-Free Reinforcement Learning
- Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning
- A Cat-Like Robot Real-Time Learning to Run
- Controlling the Experimental Three-Tank System via Support Vector Machines
- Feature-Based Clustering for Electricity Use Time Series Data
- The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex
- Soft Computing
- Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification
- Machine Tuning of Stable Analytical Fuzzy Predictive Controllers
- Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study
- Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models
- Dynamic Classifier Systems and Their Applications to Random Forest Ensembles
- A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs
- Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems
- Bioinformatics
- Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines
- Bayesian Dimension Reduction Models for Microarray Data
- Gene Selection for Cancer Classification through Ensemble of Methods
- Applications
- Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques
- A Novel Signal-Based Approach to Anomaly Detection in IDS Systems
- Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data
- Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
- Gene Trajectory Clustering for Learning the Stock Market Sectors
- Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms
- Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem
- Automatic Segmentation of Bone Tissue in X-Ray Hand Images
- Automatic Morphing of Face Images
- A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources
- Visualizing Time Series State Changes with Prototype Based Clustering.
