function?output=unnomal（inputreferencestrength）?
%this?function?is?designed?for?un-normalizing?the?data?set.?
%input??????????????the?data?which?will?be?un-normalized.?
%reference??????????the?reference?of?unnormalizing?
%strength???????????the?desired?max?of?the?data?
%if?there?is?only?one?argument?the?strength?is?equal?to?1.?
%?
%?
%?
%?
%edit?by?bruce?June?8?2006?
%?
%%%%%%%%%%%%%%%%%%%%%%%%?
if?nargin<3?
????strength=1;?
end?
if?nargin<2?
????error（‘missing?a?argument‘）;?
end??
output=mean（reference）+（max（reference）-min（reference））*input/strength;?

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件????????660??2010-08-29?15:34??基于K均值聚類的ＲＢＦ神經(jīng)網(wǎng)絡(luò)\GaussRadialBasisFunction.m.txt

?????文件????????457??2010-08-29?15:35??基于K均值聚類的ＲＢＦ神經(jīng)網(wǎng)絡(luò)\normalize.m.txt

?????文件???????3157??2010-08-29?15:35??基于K均值聚類的ＲＢＦ神經(jīng)網(wǎng)絡(luò)\simplerbf.m.txt

?????文件????????586??2010-08-29?15:36??基于K均值聚類的ＲＢＦ神經(jīng)網(wǎng)絡(luò)\unnomal.m.txt

?????目錄??????????0??2017-12-29?22:09??基于K均值聚類的ＲＢＦ神經(jīng)網(wǎng)絡(luò)

?????文件????????586??2010-08-29?15:36??基于K均值聚類的ＲＢＦ神經(jīng)網(wǎng)絡(luò)\unnomal.m

-----------?---------??----------?-----??----

?????????????????5446????????????????????6