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Home > Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I > Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization
Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I |
Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin Iwanowski; Bernadete Ribeiro
Springer Berlin Heidelberg
Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I
Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization
Authors

Enrique Mérida-Casermeiro; Domingo López-Rodríguez; Gloria Galán-Marín; Juan M. Ortiz-de-Lazcano-Lobato

ARI Id

1664704258929_2815815

Access

Not Available Free

Pages

461-469

DOI

10.1007/978-3-540-71618-1_51

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-71618-1_51

Table of Contents of Book
Showing 1 to 20 of 96 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Marek Krȩtowski; Marek Grześ
1-10
DNA Based Evolutionary Approach for Microprocessor Design Automation
Nagarajan Venkateswaran; Arjun Kumeresh; Harish Chandran
11-22
Multiple Sequence Alignment with Evolutionary-Progressive Method
Paweł Kupis; Jacek Mańdziuk
23-30
Optimal Design Centring Through a Hybrid Approach Based on Evolutionary Algorithms and Monte Carlo Simulation
Luis Pierluissi; Claudio M. Rocco S.
31-38
A New Self-adaptative Crossover Operator for Real-Coded Evolutionary Algorithms
Manuel E. Gegúndez; Pablo Palacios; José L. Álvarez
39-48
Wavelet Enhanced Analytical and Evolutionary Approaches to Time Series Forecasting
Bartosz Kozlowski
49-57
Gradient Based Stochastic Mutation Operators in Evolutionary Multi-objective Optimization
Pradyumn Kumar Shukla
58-66
Co-evolutionary Multi-agent System with Predator-Prey Mechanism for Multi-objective Optimization
Rafał Dreżewski; Leszek Siwik
67-76
Optical Design with Epsilon-Dominated Multi-objective Evolutionary Algorithm
Shaine Joseph; Hyung W. Kang; Uday K. Chakraborty
77-84
Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization
Alberto Guillén; Ignacio Rojas; Jesus González; Hector Pomares; Luis J. Herrera; Ben Paechter
85-92
Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization
Vincenzo Cutello; Natalio Krasnogor; Giuseppe Nicosia; Mario Pavone
93-101
Self-adaptive Evolutionary Methods in Designing Skeletal Structures
Adam Borkowski; Piotr Nikodem
102-109
An Evolutionary Approach to Task Graph Scheduling
Saeed Parsa; Shahriar Lotfi; Naser Lotfi
110-119
Universal Quantum Gates Via Yang-Baxterization of Dihedral Quantum Double
Mario Vélez; Juan Ospina
120-127
Evolutionary Bi-objective Learning with Lowest Complexity in Neural Networks: Empirical Comparisons
Yamina Mohamed Ben Ali
128-137
Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism
Leszek Siwik; Marek Kisiel-Dorohinicki
138-147
On Semantic Properties of Interestingness Measures for Extracting Rules from Data
Mondher Maddouri; Jamil Gammoudi
148-158
A New Mutation Operator for the Elitism-Based Compact Genetic Algorithm
Rafael R. Silva; Heitor S. Lopes; Carlos R. Erig Lima
159-166
Genetic Programming for Proactive Aggregation Protocols
Thomas Weise; Kurt Geihs; Philipp A. Baer
167-173
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 96 entries
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