3 resultados para Medical practitioners

em Boston University Digital Common


Relevância:

20.00% 20.00%

Publicador:

Resumo:

http://www.archive.org/details/equatorssnowype00crawuoft

Relevância:

20.00% 20.00%

Publicador:

Resumo:

http://www.archive.org/details/howfartotheneare012020mbp

Relevância:

20.00% 20.00%

Publicador:

Resumo:

This paper shows how knowledge, in the form of fuzzy rules, can be derived from a self-organizing supervised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning removes those recognition nodes whose confidence index falls below a selected threshold; and quantization of continuous learned weights allows the final system state to be translated into a usable set of rules. Simulations on a medical prediction problem, the Pima Indian Diabetes (PID) database, illustrate the method. In the simulations, pruned networks about 1/3 the size of the original actually show improved performance. Quantization yields comprehensible rules with only slight degradation in test set prediction performance.