Description Usage Arguments Value
Creates rules for classification using FLR.
1 2 3 4 5 6 7 | trainNow(trainData,param,rhoa=0.5,l=6,x0=0.5,EPSILON=10^(-6))
join(inpBuf,num)
theta(x,x0,param)
ufun(x,x0,l,param)
valuation(fuzlat,x0,l,param)
createNframe(trainData)
createNlist(trainData)
|
trainData |
an input data.frame. |
param |
parameter indicating linear positive valuation for 0 and sigmoid positive valuation for 1. The default value is set to 0. |
rhoa |
vigilance parameter in range [0,1]. The default value is set to 0.6. |
l |
parameter of u and theta functions of FLR. The default value is set to 6. |
x0 |
parameter of u and theta functions of FLR. The default value is set to 0.4. |
EPSILON |
parameter EPSILON.The default value is set to 10^(-6). |
inpBuf |
input buffer. |
num |
num |
x |
fuzzy lattice |
fuzlat |
fuzzy lattice |
return a data.frame of the learned code.
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