8 resultados para Municipal home rule
em Boston University Digital Common
Resumo:
http://purl.oclc.org/KUK/KDL/B92-53-27061877
Resumo:
http://www.archive.org/details/challengeofchang028207mbp
Resumo:
http://www.archive.org/details/homebaseofmissio003154mbp
Resumo:
http://www.archive.org/details/bypathstoforgott00haynrich
Resumo:
http://www.archive.org/details/womenofachieveme00brawrich
Resumo:
http://www.archive.org/details/oldspaininnewame00mcleiala
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.