/// <summary>
/// Loads a neural network from a .ann file.
/// </summary>
/// <param name="path">The .ann file path.</param>
/// <returns>The neural network.</returns>
public NeuralNetwork LoadNeuralNetwork(string path)
{
var annFile = AnnFile.Open(path);
var network = LoadNeuralNetwork(annFile);
return(network);
}
public void AnnFileInputOutputTest()
{
var path = Environment.GetFolderPath(Environment.SpecialFolder.Desktop);
_annFile.WriteToDisk(path);
var annFile = AnnFile.Open(Path.Combine(path, _name));
Assert.AreEqual(_annFile.Name, annFile.Name, "Failed to read .ann file name");
Assert.AreEqual(_annFile.Activation, annFile.Activation, "Failed to read .ann file activation function.");
for (var i = 0; i < annFile.InputNeurons.Count; i++)
{
Assert.AreEqual(_annFile.InputNeurons[i], annFile.InputNeurons[i], "Failed to read .ann file input neurons.");
}
for (var i = 0; i < annFile.OutputNeurons.Count; i++)
{
Assert.AreEqual(_annFile.OutputNeurons[i], annFile.OutputNeurons[i], "Failed to read .ann file output neurons.");
}
var n = annFile.AdjacencyMatrix.GetLength(0);
var m = annFile.AdjacencyMatrix.GetLength(1);
for (var i = 0; i < n; i++)
{
for (var j = 0; j < m; j++)
{
Assert.AreEqual(_annFile.AdjacencyMatrix[i, j], annFile.AdjacencyMatrix[i, j], "Failed to read .ann file adjacency matrix.");
}
}
}