#include <normaliz.h>
Public Types | |
enum | NormType { Interval, Distribution } |
Public Member Functions | |
Scale (Real Ad=0.0, Real Mu=1.0, NormType Type=Interval) | |
void | SetCoefForInput (double arg1, double arg2, NormType Type) |
void | SetCoefForOutput (double arg1, double arg2, NormType Type) |
double | Transform (double data) const |
double | InverseTransform (double data) const |
void | SaveToStream (ostream &out) |
void | LoadFromStream (istream &in) |
Data Fields | |
NormType | type |
Private Attributes | |
double | adit |
double | mult |
The input values are scaled by the data generator when identification is in progres and by inference function when we use it. This applies also to output variables but infer() treats diferently input and output values and the data genetator that contained the training data and which computes the scaling factors must take in consideration this thing (input scaling computations are diferent from output ones).
Definition at line 52 of file normaliz.h.
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Definition at line 60 of file normaliz.h. |
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Definition at line 63 of file normaliz.h. |
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Definition at line 119 of file normaliz.h. |
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Definition at line 129 of file normaliz.h. |
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Definition at line 124 of file normaliz.h. |
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Definition at line 66 of file normaliz.h. |
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Definition at line 91 of file normaliz.h. |
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Definition at line 114 of file normaliz.h. |
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Definition at line 56 of file normaliz.h. Referenced by InverseTransform(), LoadFromStream(), SaveToStream(), Scale(), SetCoefForInput(), SetCoefForOutput(), and Transform(). |
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Definition at line 57 of file normaliz.h. Referenced by InverseTransform(), LoadFromStream(), SaveToStream(), Scale(), SetCoefForInput(), SetCoefForOutput(), and Transform(). |
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Definition at line 61 of file normaliz.h. Referenced by Scale(), SetCoefForInput(), and SetCoefForOutput(). |