Motivation for a genetically-trained topography-preserving map

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2002, Pages 394-399

  Kirk, James S ^a   Zurada, Jacek M ^a  

^a UNION UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; ITERATIVE METHODS; TOPOLOGY; VECTOR QUANTIZATION; VECTORS;

CLUSTERING ALGORITHM; GENETICALLY TRAINED TOPOGRAPHIC MAPPING; TOPOGRAPHY PRESERVATION; VORONOI CELLS;

SELF ORGANIZING MAPS;

EID: 0036078723     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. An index of topological preservation for feature extraction
2. Self-organizing feature maps with self-adjusting learning parameters
3. A two-stage algorithm for improved topography preservation in self-organizing maps
4. An evolutionary method of training topography-preserving maps
5. Topology preservation in self-organizing maps
6. A study of permutation crossover operations on the travelling salesman problem
7. A nonlinear mapping for data structure analysis
8. Fast self-organizing feature map algorithm