ISO C++ forbids

[saharkiz]

HiddenLayer::Hi ddenLayer(int numHidden, int numInput, float thresh, bool init)
{
hiddenNodes = new HiddenNeuron[numHidden](numInput, thresh, init);
numNeurons = numHidden;
};
Error:
ISO C++ forbids initialization in array new

how do i write this so i wont get an error?
id love to see your answer as a source code/
thanks in advance

[Laharl]

It looks like you're trying to both initialize an array and/or call a constructor in the same statement. Pick one. If it's a template argument, use <> instead of [].

[saharkiz]

its not a template argument

[saharkiz]

in java i did:

public HiddenLayer(int numHidden, int numInput, double thresh, boolean init)
{
hiddenNodes = new HiddenNeuron[numHidden];
for(int i=0; i<numHidden; i++)
hiddenNodes[i] = new HiddenNeuron(nu mInput, thresh, init);
numNeurons = numHidden;
}
and it compiles well... however i cant do the same thing in c++

[Laharl]

That Java code looks like it would translate perfectly to C++, with changes for C++'s class syntax. I don't see where the error would come from, assuming hiddenNodes is a member variable of the class.

[saharkiz]

That Java code looks like it would translate perfectly to C++, with changes for C++'s class syntax. I don't see where the error would come from, assuming hiddenNodes is a member variable of the class.

thank you for the reply, heres a post of the entire code, i cant seem to get it to compile...
the error code is shown below,
im using Bloodshed Dev c++ ver 4.9.9.2

#include <vector>
#include <math.h>
#include <iostream>
#include <stdlib.h>
using namespace std;

class Neuron {
 
public:
  Neuron();
  Neuron(int axons, float threshVal, bool INIT);
  Neuron(const Neuron& parent);
  ~Neuron();

  // input unit functions
  void setNumInputs(int val);
  void setInputSet(float *inputs, int numInSet);

  // output signal functions
  float generateOutputSignal(int activationFunction);
  float calculateOutputSignalDerivative(int afun);
  
  // learning functions
  void calculateWeightBiasCorrection(float learningRate);

  // set weight set values
  void generateRandomInputWeights();
  void setInputWeightSet(float *weights, int setSize);
  void mutateInputWeights(float factor);
  void updateWeightsBiases();
  void increaseInputWeights(float factor);
  void decreaseInputWeights(float factor);

  // bias functions
  void setBias(float TVal);
  void mutateBias(float factor);

  // print functions
  void printWeightSet();

  int id;

// input set variables/vectors
  float *neuronInputSet;
  int numInputs;
  float *inputWeightSet;

// threshold for firing
  float bias;

// output signal value
  float outputSignal;

// error correction / learning
// used to calculate error term
  float errorInformation;
  float *weightCorrection;
  float biasCorrection;
  float sumWeightedInput;

// static counter
  static int idCounter;
};
class HiddenNeuron : public Neuron
{
public:
  HiddenNeuron(int, float, bool);
  void calculateHiddenError(int afun);
};
//-----------------------------------
class HiddenLayer
{
public:
  HiddenNeuron *hiddenNodes;
  int numNeurons;
  HiddenLayer(int, int, float, bool);
  ~HiddenLayer();
};
//-----------------------------------
HiddenLayer::HiddenLayer(int numHidden, int numInput, float thresh, bool init)
{ 
  //hiddenNodes = new HiddenNeuron[numHidden](numInput, thresh, init);
    hiddenNodes = new HiddenNeuron[numHidden];
    for(int i=0; i<numHidden; i++)
          {hiddenNodes[i] = new HiddenNeuron(numInput, thresh, init);}
  numNeurons = numHidden;
};

HiddenLayer::~HiddenLayer()
{ 
  delete [] hiddenNodes;
}

\c++\hiddenLaye r.cpp In constructor `HiddenLayer::H iddenLayer(int, int, float, bool)':
83 \c++\hiddenLaye r.cpp no matching function for call to `HiddenNeuron:: HiddenNeuron()'
note \c++\hiddenLaye r.cpp:65 candidates are: HiddenNeuron::H iddenNeuron(con st HiddenNeuron&)
note \c++\hiddenLaye r.cpp:65
HiddenNeuron::H iddenNeuron(int , float, bool)
85 \c++\hiddenLaye r.cpp no match for 'operator=' in '*(((HiddenLaye r*)this)->HiddenLayer::h iddenNodes + (+(((unsigned int)i) * 40u))) = (((HiddenNeuron *)operator new(40u)), (<anonymous>->HiddenNeuron:: HiddenNeuron(nu mInput, thresh, (+init)), <anonymous>)) '
note \c++\hiddenLaye r.cpp:65 candidates are: HiddenNeuron& HiddenNeuron::o perator=(const HiddenNeuron&)
C:\Documents and Settings\aresh\ Desktop\Makefil e.win [Build Error] [thesis/c++/hiddenLayer.o] Error 1

#include <vector>
#include <math.h>
#include <iostream>
#include <stdlib.h>
using namespace std;

class Neuron {
 
public:
  Neuron();
  Neuron(int axons, float threshVal, bool INIT);
  Neuron(const Neuron& parent);
  ~Neuron();

  // input unit functions
  void setNumInputs(int val);
  void setInputSet(float *inputs, int numInSet);

  // output signal functions
  float generateOutputSignal(int activationFunction);
  float calculateOutputSignalDerivative(int afun);
  
  // learning functions
  void calculateWeightBiasCorrection(float learningRate);

  // set weight set values
  void generateRandomInputWeights();
  void setInputWeightSet(float *weights, int setSize);
  void mutateInputWeights(float factor);
  void updateWeightsBiases();
  void increaseInputWeights(float factor);
  void decreaseInputWeights(float factor);

  // bias functions
  void setBias(float TVal);
  void mutateBias(float factor);

  // print functions
  void printWeightSet();

  int id;

// input set variables/vectors
  float *neuronInputSet;
  int numInputs;
  float *inputWeightSet;

// threshold for firing
  float bias;

// output signal value
  float outputSignal;

// error correction / learning
// used to calculate error term
  float errorInformation;
  float *weightCorrection;
  float biasCorrection;
  float sumWeightedInput;

// static counter
  static int idCounter;
};
class HiddenNeuron : public Neuron
{
public:
  HiddenNeuron(int, float, bool);
  void calculateHiddenError(int afun);
};
//------------------------------------
HiddenNeuron::HiddenNeuron(int numInputs, float threshold, bool init):Neuron(numInputs, threshold, init)
{ }

void HiddenNeuron::calculateHiddenError(int afun)
{
  float outputSignalDerivative = calculateOutputSignalDerivative(afun);
  errorInformation *= outputSignalDerivative;
}

[Laharl]

You've certainly got some errors there.

Line 83:
This line is fine if you remove line 82. That's fine array declaration syntax, but line 82 is just a mess. It looks as though you tried to initialize the entire array with elements passing those parameters to the constructor, but that just doesn't work.

Line 85:
You're trying to reinitialize the array at each step. Use the array index operator, [], to access the elements and initialize them.

[saharkiz]

changed it to:
HiddenLayer::Hi ddenLayer(int numHidden, int numInput, float thresh, bool init)
{
hiddenNodes = new HiddenNeuron[numHidden];
for(int i=0; i<numHidden; i++)
{hiddenNodes[i] = HiddenNeuron(nu mInput, thresh, init);}
numNeurons = numHidden;
};
but i get the following error now!

this is what it calls so i dont know how to seperate both the array and initialization. ....

HiddenNeuron::H iddenNeuron(int numInputs, float threshold, bool init):Neuron(nu mInputs, threshold, init)
{ }

ERRORS

\c++\hiddenLaye r.cpp In constructor `HiddenLayer::H iddenLayer(int, int, float, bool)':

83 \c++\hiddenLaye r.cpp no matching function for call to `HiddenNeuron:: HiddenNeuron()'

note \c++\hiddenLaye r.cpp:65 candidates are: HiddenNeuron::H iddenNeuron(con st HiddenNeuron&)

note \c++\hiddenLaye r.cpp:65 HiddenNeuron::H iddenNeuron(int , float, bool)