The parameterless self-organizing map algorithm
Contribuinte(s) |
M.M. Polycarpou |
---|---|
Data(s) |
01/01/2006
|
Resumo |
The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing schemes for learning rate and neighborhood size. We discuss the relative performance of the PLSOM and the SOM and demonstrate some tasks in which the SOM fails but the PLSOM performs satisfactory. Finally we discuss some example applications of the PLSOM and present a proof of ordering under certain limited conditions. |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE-Inst Electrical Electronics Engineers Inc |
Palavras-Chave | #Self-organizing Feature Maps #Computer Science, Artificial Intelligence #Computer Science, Hardware & Architecture #Computer Science, Theory & Methods #Engineering, Electrical & Electronic #Implementation #Localization #Optimization #Behavior #Network #System #Som #Gtm #C1 #280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic #780101 Mathematical sciences |
Tipo |
Journal Article |