rbf核神经网络程序matlab程序

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1、实用标准文案#include"RadialBasisNetwork.h"#include"Exception.h"#include"Matrix.h"#include"File.h"usingnamespacestd;namespaceannie{/**CreatesaRadialbasisfunctionnetwork.Alltheoutputswillhaveabias.*@paraminputsNumberofinputstakeninbythenetwork*@paramcentersNumberofc

2、entersthenetworkhas.Eachcenterwillbe*aninputs-dimensionalpoint*@paramoutputsThenumberofoutputsgivenbytheneuron.Allofthemwillhave*abias*/RadialBasisNetwork::RadialBasisNetwork(intinputs,intcenters,intoutputs,real(*CenterArray)[1024]):Network(inputs,outputs){i

3、nti,j;//externrealCenterArray[WORDNUM][inputs];centroid=newreal[inputs];///Layerofinput.EachmemberisanInputNeuron//InputLayer*_inputLayer;_inputLayer=newInputLayer(0,inputs);/**Numberofcentersinthenetwork.*Ifyouplantoextendthisclass,thentheonusofkeepingthisv

4、alue*consistentliesonyou*/_nCenters=centers;///Layerofcenters,eachmemberisaCenterNEuron_centerLayer=newLayer(1);for(i=0;i<_nCenters;i++){for(j=0;j

5、nputs);CenterNeuron*c=newCenterNeuron(Layer::MAX_LAYER_SIZE*1+i,inputs,centroid);for(j=0;jconnect(&_inputLayer->getNeuron(j));}_centerLayer->addNeuron(c);}///Layerofoutput,eachmemberifaSimpleNeuron_outputLayer=newLayer(2);for(i=0;i

6、+){SimpleNeuron*n=newSimpleNeuron(Layer::MAX_LAYER_SIZE*2+i,true);n->setActivationFunction(identity,didentity);for(j=0;jconnect(&_centerLayer->getNeuron(j));_outputLayer->addNeuron(n);}}///Copyconstructor,NOTYETIMPLEMENTEDRadialBasisNetwork::

7、RadialBasisNetwork(RadialBasisNetwork&src):Network(src){inti,j,lbl;intinputs=src._inputLayer->getSize();intcenters=src._centerLayer->getSize();intoutputs=src._outputLayer->getSize();_inputLayer=newInputLayer(src._inputLayer->getLabel(),src._inputLayer->getSi

8、ze());_nCenters=src._nCenters;lbl=src._centerLayer->getLabel();_centerLayer=newLayer(lbl);for(i=0;i