C# Class alglib.mlpbase, hand-gesture-recognition

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Méthodes publiques

Méthode	Description
mlpactivationfunction ( double net, int k, double &f, double &df, double &d2f ) : void
mlpalloc ( alglib, s, multilayerperceptron network ) : void
mlpavgce ( multilayerperceptron network, double xy, int npoints ) : double
mlpavgerror ( multilayerperceptron network, double xy, int npoints ) : double
mlpavgrelerror ( multilayerperceptron network, double xy, int npoints ) : double
mlpclserror ( multilayerperceptron network, double xy, int ssize ) : int
mlpcopy ( multilayerperceptron network1, multilayerperceptron network2 ) : void
mlpcreate0 ( int nin, int nout, multilayerperceptron network ) : void
mlpcreate1 ( int nin, int nhid, int nout, multilayerperceptron network ) : void
mlpcreate2 ( int nin, int nhid1, int nhid2, int nout, multilayerperceptron network ) : void
mlpcreateb0 ( int nin, int nout, double b, double d, multilayerperceptron network ) : void
mlpcreateb1 ( int nin, int nhid, int nout, double b, double d, multilayerperceptron network ) : void
mlpcreateb2 ( int nin, int nhid1, int nhid2, int nout, double b, double d, multilayerperceptron network ) : void
mlpcreatec0 ( int nin, int nout, multilayerperceptron network ) : void
mlpcreatec1 ( int nin, int nhid, int nout, multilayerperceptron network ) : void
mlpcreatec2 ( int nin, int nhid1, int nhid2, int nout, multilayerperceptron network ) : void
mlpcreater0 ( int nin, int nout, double a, double b, multilayerperceptron network ) : void
mlpcreater1 ( int nin, int nhid, int nout, double a, double b, multilayerperceptron network ) : void
mlpcreater2 ( int nin, int nhid1, int nhid2, int nout, double a, double b, multilayerperceptron network ) : void
mlperror ( multilayerperceptron network, double xy, int ssize ) : double
mlperrorn ( multilayerperceptron network, double xy, int ssize ) : double
mlpgetinputscaling ( multilayerperceptron network, int i, double &mean, double &sigma ) : void
mlpgetlayerscount ( multilayerperceptron network ) : int
mlpgetlayersize ( multilayerperceptron network, int k ) : int
mlpgetneuroninfo ( multilayerperceptron network, int k, int i, int &fkind, double &threshold ) : void
mlpgetoutputscaling ( multilayerperceptron network, int i, double &mean, double &sigma ) : void
mlpgetweight ( multilayerperceptron network, int k0, int i0, int k1, int i1 ) : double
mlpgrad ( multilayerperceptron network, double x, double desiredy, double &e, double &grad ) : void
mlpgradbatch ( multilayerperceptron network, double xy, int ssize, double &e, double &grad ) : void
mlpgradn ( multilayerperceptron network, double x, double desiredy, double &e, double &grad ) : void
mlpgradnbatch ( multilayerperceptron network, double xy, int ssize, double &e, double &grad ) : void
mlphessianbatch ( multilayerperceptron network, double xy, int ssize, double &e, double &grad, double &h ) : void
mlphessiannbatch ( multilayerperceptron network, double xy, int ssize, double &e, double &grad, double &h ) : void
mlpinitpreprocessor ( multilayerperceptron network, double xy, int ssize ) : void
mlpinternalprocessvector ( int structinfo, double weights, double columnmeans, double columnsigmas, double &neurons, double &dfdnet, double x, double &y ) : void
mlpissoftmax ( multilayerperceptron network ) : bool
mlpprocess ( multilayerperceptron network, double x, double &y ) : void
mlpprocessi ( multilayerperceptron network, double x, double &y ) : void
mlpproperties ( multilayerperceptron network, int &nin, int &nout, int &wcount ) : void
mlprandomize ( multilayerperceptron network ) : void
mlprandomizefull ( multilayerperceptron network ) : void
mlprelclserror ( multilayerperceptron network, double xy, int npoints ) : double
mlprmserror ( multilayerperceptron network, double xy, int npoints ) : double
mlpserialize ( alglib, s, multilayerperceptron network ) : void
mlpserializeold ( multilayerperceptron network, double &ra, int &rlen ) : void
mlpsetinputscaling ( multilayerperceptron network, int i, double mean, double sigma ) : void
mlpsetneuroninfo ( multilayerperceptron network, int k, int i, int fkind, double threshold ) : void
mlpsetoutputscaling ( multilayerperceptron network, int i, double mean, double sigma ) : void
mlpsetweight ( multilayerperceptron network, int k0, int i0, int k1, int i1, double w ) : void
mlpunserialize ( alglib s, multilayerperceptron network ) : void
mlpunserializeold ( double ra, multilayerperceptron network ) : void

Private Methods

Méthode	Description
addactivationlayer ( int functype, int &lsizes, int &ltypes, int &lconnfirst, int &lconnlast, int &lastproc ) : void
addbiasedsummatorlayer ( int ncount, int &lsizes, int &ltypes, int &lconnfirst, int &lconnlast, int &lastproc ) : void
addinputlayer ( int ncount, int &lsizes, int &ltypes, int &lconnfirst, int &lconnlast, int &lastproc ) : void
addzerolayer ( int &lsizes, int &ltypes, int &lconnfirst, int &lconnlast, int &lastproc ) : void
fillhighlevelinformation ( multilayerperceptron network, int nin, int nhid1, int nhid2, int nout, bool iscls, bool islinearout ) : void
hladdhiddenlayer ( multilayerperceptron network, int &connidx, int &neuroidx, int &structinfoidx, int &weightsidx, int k, int nprev, int ncur ) : void
hladdinputlayer ( multilayerperceptron network, int &connidx, int &neuroidx, int &structinfoidx, int nin ) : void
hladdoutputlayer ( multilayerperceptron network, int &connidx, int &neuroidx, int &structinfoidx, int &weightsidx, int k, int nprev, int nout, bool iscls, bool islinearout ) : void
mlpchunkedgradient ( multilayerperceptron network, double xy, int cstart, int csize, double &e, double &grad, bool naturalerrorfunc ) : void
mlpcreate ( int nin, int nout, int lsizes, int ltypes, int lconnfirst, int lconnlast, int layerscount, bool isclsnet, multilayerperceptron network ) : void
mlphessianbatchinternal ( multilayerperceptron network, double xy, int ssize, bool naturalerr, double &e, double &grad, double &h ) : void
mlpinternalcalculategradient ( multilayerperceptron network, double neurons, double weights, double &derror, double &grad, bool naturalerrorfunc ) : void
safecrossentropy ( double t, double z ) : double

Method Details

mlpactivationfunction() public static méthode

public static mlpactivationfunction ( double net, int k, double &f, double &df, double &d2f ) : void
net	double
k	int
f	double
df	double
d2f	double
Résultat	void

mlpalloc() public static méthode

public static mlpalloc ( alglib, s, multilayerperceptron network ) : void
s	alglib,
network	multilayerperceptron
Résultat	void

mlpavgce() public static méthode

public static mlpavgce ( multilayerperceptron network, double xy, int npoints ) : double
network	multilayerperceptron
xy	double
npoints	int
Résultat	double

mlpavgerror() public static méthode

public static mlpavgerror ( multilayerperceptron network, double xy, int npoints ) : double
network	multilayerperceptron
xy	double
npoints	int
Résultat	double

mlpavgrelerror() public static méthode

public static mlpavgrelerror ( multilayerperceptron network, double xy, int npoints ) : double
network	multilayerperceptron
xy	double
npoints	int
Résultat	double

mlpclserror() public static méthode

public static mlpclserror ( multilayerperceptron network, double xy, int ssize ) : int
network	multilayerperceptron
xy	double
ssize	int
Résultat	int

mlpcopy() public static méthode

public static mlpcopy ( multilayerperceptron network1, multilayerperceptron network2 ) : void
network1	multilayerperceptron
network2	multilayerperceptron
Résultat	void

mlpcreate0() public static méthode

public static mlpcreate0 ( int nin, int nout, multilayerperceptron network ) : void
nin	int
nout	int
network	multilayerperceptron
Résultat	void

mlpcreate1() public static méthode

public static mlpcreate1 ( int nin, int nhid, int nout, multilayerperceptron network ) : void
nin	int
nhid	int
nout	int
network	multilayerperceptron
Résultat	void

mlpcreate2() public static méthode

public static mlpcreate2 ( int nin, int nhid1, int nhid2, int nout, multilayerperceptron network ) : void
nin	int
nhid1	int
nhid2	int
nout	int
network	multilayerperceptron
Résultat	void

mlpcreateb0() public static méthode

public static mlpcreateb0 ( int nin, int nout, double b, double d, multilayerperceptron network ) : void
nin	int
nout	int
b	double
d	double
network	multilayerperceptron
Résultat	void

mlpcreateb1() public static méthode

public static mlpcreateb1 ( int nin, int nhid, int nout, double b, double d, multilayerperceptron network ) : void
nin	int
nhid	int
nout	int
b	double
d	double
network	multilayerperceptron
Résultat	void

mlpcreateb2() public static méthode

public static mlpcreateb2 ( int nin, int nhid1, int nhid2, int nout, double b, double d, multilayerperceptron network ) : void
nin	int
nhid1	int
nhid2	int
nout	int
b	double
d	double
network	multilayerperceptron
Résultat	void

mlpcreatec0() public static méthode

public static mlpcreatec0 ( int nin, int nout, multilayerperceptron network ) : void
nin	int
nout	int
network	multilayerperceptron
Résultat	void

mlpcreatec1() public static méthode

public static mlpcreatec1 ( int nin, int nhid, int nout, multilayerperceptron network ) : void
nin	int
nhid	int
nout	int
network	multilayerperceptron
Résultat	void

mlpcreatec2() public static méthode

public static mlpcreatec2 ( int nin, int nhid1, int nhid2, int nout, multilayerperceptron network ) : void
nin	int
nhid1	int
nhid2	int
nout	int
network	multilayerperceptron
Résultat	void

mlpcreater0() public static méthode

public static mlpcreater0 ( int nin, int nout, double a, double b, multilayerperceptron network ) : void
nin	int
nout	int
a	double
b	double
network	multilayerperceptron
Résultat	void

mlpcreater1() public static méthode

public static mlpcreater1 ( int nin, int nhid, int nout, double a, double b, multilayerperceptron network ) : void
nin	int
nhid	int
nout	int
a	double
b	double
network	multilayerperceptron
Résultat	void

mlpcreater2() public static méthode

public static mlpcreater2 ( int nin, int nhid1, int nhid2, int nout, double a, double b, multilayerperceptron network ) : void
nin	int
nhid1	int
nhid2	int
nout	int
a	double
b	double
network	multilayerperceptron
Résultat	void

mlperror() public static méthode

public static mlperror ( multilayerperceptron network, double xy, int ssize ) : double
network	multilayerperceptron
xy	double
ssize	int
Résultat	double

mlperrorn() public static méthode

public static mlperrorn ( multilayerperceptron network, double xy, int ssize ) : double
network	multilayerperceptron
xy	double
ssize	int
Résultat	double

mlpgetinputscaling() public static méthode

public static mlpgetinputscaling ( multilayerperceptron network, int i, double &mean, double &sigma ) : void
network	multilayerperceptron
i	int
mean	double
sigma	double
Résultat	void

mlpgetlayerscount() public static méthode

public static mlpgetlayerscount ( multilayerperceptron network ) : int
network	multilayerperceptron
Résultat	int

mlpgetlayersize() public static méthode

public static mlpgetlayersize ( multilayerperceptron network, int k ) : int
network	multilayerperceptron
k	int
Résultat	int

mlpgetneuroninfo() public static méthode

public static mlpgetneuroninfo ( multilayerperceptron network, int k, int i, int &fkind, double &threshold ) : void
network	multilayerperceptron
k	int
i	int
fkind	int
threshold	double
Résultat	void

mlpgetoutputscaling() public static méthode

public static mlpgetoutputscaling ( multilayerperceptron network, int i, double &mean, double &sigma ) : void
network	multilayerperceptron
i	int
mean	double
sigma	double
Résultat	void

mlpgetweight() public static méthode

public static mlpgetweight ( multilayerperceptron network, int k0, int i0, int k1, int i1 ) : double
network	multilayerperceptron
k0	int
i0	int
k1	int
i1	int
Résultat	double

mlpgrad() public static méthode

public static mlpgrad ( multilayerperceptron network, double x, double desiredy, double &e, double &grad ) : void
network	multilayerperceptron
x	double
desiredy	double
e	double
grad	double
Résultat	void

mlpgradbatch() public static méthode

public static mlpgradbatch ( multilayerperceptron network, double xy, int ssize, double &e, double &grad ) : void
network	multilayerperceptron
xy	double
ssize	int
e	double
grad	double
Résultat	void

mlpgradn() public static méthode

public static mlpgradn ( multilayerperceptron network, double x, double desiredy, double &e, double &grad ) : void
network	multilayerperceptron
x	double
desiredy	double
e	double
grad	double
Résultat	void

mlpgradnbatch() public static méthode

public static mlpgradnbatch ( multilayerperceptron network, double xy, int ssize, double &e, double &grad ) : void
network	multilayerperceptron
xy	double
ssize	int
e	double
grad	double
Résultat	void

mlphessianbatch() public static méthode

public static mlphessianbatch ( multilayerperceptron network, double xy, int ssize, double &e, double &grad, double &h ) : void
network	multilayerperceptron
xy	double
ssize	int
e	double
grad	double
h	double
Résultat	void

mlphessiannbatch() public static méthode

public static mlphessiannbatch ( multilayerperceptron network, double xy, int ssize, double &e, double &grad, double &h ) : void
network	multilayerperceptron
xy	double
ssize	int
e	double
grad	double
h	double
Résultat	void

mlpinitpreprocessor() public static méthode

public static mlpinitpreprocessor ( multilayerperceptron network, double xy, int ssize ) : void
network	multilayerperceptron
xy	double
ssize	int
Résultat	void

mlpinternalprocessvector() public static méthode

public static mlpinternalprocessvector ( int structinfo, double weights, double columnmeans, double columnsigmas, double &neurons, double &dfdnet, double x, double &y ) : void
structinfo	int
weights	double
columnmeans	double
columnsigmas	double
neurons	double
dfdnet	double
x	double
y	double
Résultat	void

mlpissoftmax() public static méthode

public static mlpissoftmax ( multilayerperceptron network ) : bool
network	multilayerperceptron
Résultat	bool

mlpprocess() public static méthode

public static mlpprocess ( multilayerperceptron network, double x, double &y ) : void
network	multilayerperceptron
x	double
y	double
Résultat	void

mlpprocessi() public static méthode

public static mlpprocessi ( multilayerperceptron network, double x, double &y ) : void
network	multilayerperceptron
x	double
y	double
Résultat	void

mlpproperties() public static méthode

public static mlpproperties ( multilayerperceptron network, int &nin, int &nout, int &wcount ) : void
network	multilayerperceptron
nin	int
nout	int
wcount	int
Résultat	void

mlprandomize() public static méthode

public static mlprandomize ( multilayerperceptron network ) : void
network	multilayerperceptron
Résultat	void

mlprandomizefull() public static méthode

public static mlprandomizefull ( multilayerperceptron network ) : void
network	multilayerperceptron
Résultat	void

mlprelclserror() public static méthode

public static mlprelclserror ( multilayerperceptron network, double xy, int npoints ) : double
network	multilayerperceptron
xy	double
npoints	int
Résultat	double

mlprmserror() public static méthode

public static mlprmserror ( multilayerperceptron network, double xy, int npoints ) : double
network	multilayerperceptron
xy	double
npoints	int
Résultat	double

mlpserialize() public static méthode

public static mlpserialize ( alglib, s, multilayerperceptron network ) : void
s	alglib,
network	multilayerperceptron
Résultat	void

mlpserializeold() public static méthode

public static mlpserializeold ( multilayerperceptron network, double &ra, int &rlen ) : void
network	multilayerperceptron
ra	double
rlen	int
Résultat	void

mlpsetinputscaling() public static méthode

public static mlpsetinputscaling ( multilayerperceptron network, int i, double mean, double sigma ) : void
network	multilayerperceptron
i	int
mean	double
sigma	double
Résultat	void

mlpsetneuroninfo() public static méthode

public static mlpsetneuroninfo ( multilayerperceptron network, int k, int i, int fkind, double threshold ) : void
network	multilayerperceptron
k	int
i	int
fkind	int
threshold	double
Résultat	void

mlpsetoutputscaling() public static méthode

public static mlpsetoutputscaling ( multilayerperceptron network, int i, double mean, double sigma ) : void
network	multilayerperceptron
i	int
mean	double
sigma	double
Résultat	void

mlpsetweight() public static méthode

public static mlpsetweight ( multilayerperceptron network, int k0, int i0, int k1, int i1, double w ) : void
network	multilayerperceptron
k0	int
i0	int
k1	int
i1	int
w	double
Résultat	void

mlpunserialize() public static méthode

public static mlpunserialize ( alglib s, multilayerperceptron network ) : void
s	alglib
network	multilayerperceptron
Résultat	void

mlpunserializeold() public static méthode

public static mlpunserializeold ( double ra, multilayerperceptron network ) : void
ra	double
network	multilayerperceptron
Résultat	void