Yes it does via the extensibility provided by ADK.
  Below is a sample neural network created in C++ that could be fed data via 
Amibroker to return a NN indicator/prediction.  It doesnt seem that hard to 
create the required function.
   
  #include <math.h>
  #include <stdlib.h>
  #include <iostream>
  double input_hidden_weights[5][6]=
  {
  {9.40985654649721e-001, 9.23136985641824e+000, -2.86994950445746e+000, 
-1.26803931926022e+000, -7.70008830456271e+000, 1.25421731000059e+000 },
  {3.08886279182467e+000, 5.78057919510794e+000, 1.10741139003555e+001, 
-3.65436515636221e+000, -1.46817775035674e+001, 2.22520984659718e+001 },
  {1.69160825877441e-001, -9.91646811530742e+000, -1.05635083282757e+001, 
4.25517810226395e+000, 2.50631134577816e+000, -2.91169885599088e+000 },
  {-6.47564626574024e-001, -6.79555863835188e+000, -4.77495170169956e+000, 
1.35029793165373e+000, 2.78079262918906e+000, -1.90795645602409e+000 },
  {1.43573516935369e+000, 7.90014107622549e+000, 1.34639286162717e+000, 
-4.87454998380292e-001, -5.75300672778634e+000, 2.44385407464775e+000 } 
  };
  double hidden_bias[5]={ -1.72504436049218e+000, -1.12353474266980e+001, 
1.05782985606737e+001, 6.38618458656671e+000, -4.76099367812151e+000 };
  double hidden_output_wts[1][5]=
  {
  {4.85655076789677e+000, 5.85365165791789e-001, 3.11879288899187e+000, 
-8.48772823147294e+000, -9.35987517826960e+000 }
  };
  double output_bias[1]={ 5.51616000361064e+000 };
  double max_input[6]={ 3.02200000000000e-001, 6.05400000000000e-001, 
1.81400000000000e-001, 1.59000000000000e-002, 6.06600000000000e-001, 
2.43900000000000e-001 };
  double min_input[6]={ -2.82000000000000e-001, -8.46700000000000e-001, 
-1.95700000000000e-001, -9.70000000000000e-003, -5.52700000000000e-001, 
-2.45100000000000e-001 };
  double max_target[1]={ 1.35100000000000e-001 };
  double min_target[1]={ -1.50800000000000e-001 };
  double input[6];
  double hidden[5];
  double output[1];
  void FindMax(double* vec, double* max, long* maxIndex,int len)
  {
  long i;
  *max = vec[0];
  *maxIndex = 0;
  for(i=1; i<len; i++)
  {
  if(vec[i]>*max)
  {
  *max = vec[i];
  *maxIndex = i;
  }
  }
  }
  void FindMin(double* vec, double* min, long* minIndex,int len)
  {
  long i;
  *min = vec[0];
  *minIndex = 0;
  for(i=1; i<len; i++)
  {
  if(vec[i]<*min)
  {
  *min = vec[i];
  *minIndex = i;
  }
  }
  }
  void ScaleInputs(double* input, double min, double max, int size)
  {
  double delta;
  long i;
  for(i=0; i<size; i++)
  {
  delta = (max-min)/(max_input[i]-min_input[i]);
  input[i] = min - delta*min_input[i]+ delta*input[i];
  }
  }
  void UnscaleTargets(double* output, double min, double max, int size)
  {
  double delta;
  long i;
  for(i=0; i<size; i++)
  {
  delta = (max-min)/(max_target[i]-min_target[i]);
  output[i] = (output[i] - min + delta*min_target[i])/delta;
  }
  }
  double logistic(double x)
  {
  if(x > 100.0) x = 1.0;
  else if (x < -100.0) x = 0.0;
  else x = 1.0/(1.0+exp(-x));
  return x;
  }
  void ComputeFeedForwardSignals(double* MAT_INOUT,double* V_IN,double* V_OUT, 
double* V_BIAS,int size1,int size2,int layer)
  {
  int row,col;
  for(row=0;row < size2; row++) 
  {
  V_OUT[row]=0.0;
  
for(col=0;col<size1;col++)V_OUT[row]+=(*(MAT_INOUT+(row*size1)+col)*V_IN[col]);
  V_OUT[row]+=V_BIAS[row];
  if(layer==0) V_OUT[row] = logistic(V_OUT[row]);
  if(layer==1) V_OUT[row] = tanh(V_OUT[row]);
  }
  }
  void RunNeuralNet_Regression () 
  {
  
ComputeFeedForwardSignals((double*)input_hidden_weights,input,hidden,hidden_bias,6,
 5,0);
  
ComputeFeedForwardSignals((double*)hidden_output_wts,hidden,output,output_bias,5,
 1,1);
  }
   
  John 

Don Lindberg <[EMAIL PROTECTED]> wrote:
          AmiBroker does not do neural network analysis!

Donald F Lindberg
-----Original Message-----
From: [email protected] [mailto:[EMAIL PROTECTED] On Behalf
Of Bob Jagow
Sent: Saturday, September 22, 2007 8:38 PM
To: [email protected]
Subject: RE: [amibroker] FORUMULA GIVING RESULTS LIKE NEURAL NETWORK

Has anyone answered your five previous posts?

-----Original Message-----
From: [email protected] [mailto:[EMAIL PROTECTED] Behalf
Of Vinay Gakkhar.
Sent: Saturday, September 22, 2007 8:27 PM
To: amibroker
Subject: [amibroker] FORUMULA GIVING RESULTS LIKE NEURAL NETWORK

Is there any Amibroker formula which analyzes historical stocks data like a
neural network does?

gakkhar

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Please note that this group is for discussion between users only.

To get support from AmiBroker please send an e-mail directly to 
SUPPORT {at} amibroker.com

For NEW RELEASE ANNOUNCEMENTS and other news always check DEVLOG:
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