public BPN_ImageClassifier_Double(int nrPixels, int nrHiddens1, int nrHiddens2, int nrClasses, BiasNodes bias, double minInput, double maxInput) : this(VisionLabPINVOKE.new_BPN_ImageClassifier_Double__SWIG_1(nrPixels, nrHiddens1, nrHiddens2, nrClasses, (int)bias, minInput, maxInput), true) {
   if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
 }
 public static string BiasNodesToStr(BiasNodes b) {
   string ret = VisionLabPINVOKE.BiasNodesToStr((int)b);
   if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
   return ret;
 }
示例#3
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 public BPN(ActivationFunction func, vector_int layerDescrTab, BiasNodes bias, vector_MinMaxInput minMaxInputTab, double minOutput, double maxOutput) : this(VisionLabPINVOKE.new_BPN__SWIG_1((int)func, vector_int.getCPtr(layerDescrTab), (int)bias, vector_MinMaxInput.getCPtr(minMaxInputTab), minOutput, maxOutput), true) {
   if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
 }
示例#4
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 public void Init(ActivationFunction func, vector_int layerDescrTab, BiasNodes bias, vector_MinMaxInput minMaxInputTab, double minOutput, double maxOutput) {
   VisionLabPINVOKE.BPN_Init(swigCPtr, (int)func, vector_int.getCPtr(layerDescrTab), (int)bias, vector_MinMaxInput.getCPtr(minMaxInputTab), minOutput, maxOutput);
   if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
 }
 public BPN_Classifier(int nrInputs, int nrHiddens1, int nrHiddens2, int nrOutputs, BiasNodes bias, vector_MinMaxInput minMaxInputTab) : this(VisionLabPINVOKE.new_BPN_Classifier__SWIG_1(nrInputs, nrHiddens1, nrHiddens2, nrOutputs, (int)bias, vector_MinMaxInput.getCPtr(minMaxInputTab)), true) {
   if (VisionLabPINVOKE.SWIGPendingException.Pending) throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
 }
示例#6
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 public BPN_ImageClassifier_Double(int nrPixels, int nrHiddens1, int nrHiddens2, int nrClasses, BiasNodes bias, double minInput, double maxInput) : this(VisionLabPINVOKE.new_BPN_ImageClassifier_Double__SWIG_1(nrPixels, nrHiddens1, nrHiddens2, nrClasses, (int)bias, minInput, maxInput), true)
 {
     if (VisionLabPINVOKE.SWIGPendingException.Pending)
     {
         throw VisionLabPINVOKE.SWIGPendingException.Retrieve();
     }
 }