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Adaptive and Natural Computing Algorithms 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers
Title
Adaptive and Natural Computing Algorithms [electronic resource] : 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers / edited by Ville Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski.
ISBN
9783642049217
Edition
1st ed. 2009.
Publication
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Physical Description
1 online resource (XVI, 630 p.)
Local Notes
Access is available to the Yale community.
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Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
May 09, 2023
Series
Theoretical Computer Science and General Issues, 5495
Contents
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.
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