/// <summary>
/// Propagate the layer.
/// </summary>
///
/// <param name="matrix">The matrix for this layer.</param>
/// <param name="input">The input pattern.</param>
/// <param name="output">The output pattern.</param>
/// <returns>True if the network has become stable.</returns>
private static bool PropagateLayer(Matrix matrix, IMLData input,
IMLDataModifiable output)
{
int i;
bool stable = true;
for (i = 0; i < output.Count; i++)
{
double sum = 0; // **FIX** ?? int ??
int j;
for (j = 0; j < input.Count; j++)
{
sum += GetWeight(matrix, input, i, j) * input[j];
}
if (sum != 0)
{
int xout;
if (sum < 0)
{
xout = -1;
}
else
{
xout = 1;
}
if (xout != (int)output[i])
{
stable = false;
output[i] = xout;
}
}
}
return(stable);
}
/// <summary>
/// Construct the neural data mapping class with the specified values.
/// </summary>
///
/// <param name="f">The source data.</param>
/// <param name="t">The target data.</param>
public NeuralDataMapping(IMLDataModifiable f, IMLDataModifiable t)
{
From = f;
To = t;
}
/// <summary>
/// Construct the neural data mapping class with the specified values.
/// </summary>
///
/// <param name="f">The source data.</param>
/// <param name="t">The target data.</param>
public NeuralDataMapping(IMLDataModifiable f, IMLDataModifiable t)
{
From = f;
To = t;
}
/// <summary>
/// Propagate the layer.
/// </summary>
///
/// <param name="matrix">The matrix for this layer.</param>
/// <param name="input">The input pattern.</param>
/// <param name="output">The output pattern.</param>
/// <returns>True if the network has become stable.</returns>
private static bool PropagateLayer(Matrix matrix, IMLData input,
IMLDataModifiable output)
{
int i;
bool stable = true;
for (i = 0; i < output.Count; i++)
{
double sum = 0; // **FIX** ?? int ??
int j;
for (j = 0; j < input.Count; j++)
{
sum += GetWeight(matrix, input, i, j)*input[j];
}
if (sum != 0)
{
int xout;
if (sum < 0)
{
xout = -1;
}
else
{
xout = 1;
}
if (xout != (int) output[i])
{
stable = false;
output[i] = xout;
}
}
}
return stable;
}