//================================================================
//テキストファイルの重み、バイアスを読み込む
private IEnumerator ReadWeightAndBias()
{
string s_id = weightAndBias.GetData(weightAndBias.GetDataSize() - 5, 0);
Debug.Log(weightAndBias.GetDataSize() - 5 + "/" + s_id);
if (s_id != "none")
{
int id = int.Parse(s_id);
parameterManager.NeuralNetworkID = id;
for (int i = 0; i < hiddenLayer.Length; i++)
{
for (int j = 0; j < inputLayer.Length; j++)
{
weightI_H[j, i] = double.Parse(weightAndBias.GetData(1 + id * 5, 10 + j + i * inputLayer.Length));
}
biasHiddenLayer[i] = double.Parse(weightAndBias.GetData(3 + id * 5, 10 + i));
}
for (int i = 0; i < outputLayer.Length; i++)
{
for (int j = 0; j < hiddenLayer.Length; j++)
{
weightH_O[j, i] = double.Parse(weightAndBias.GetData(2 + id * 5, 10 + j + i * inputLayer.Length));
}
biasOutputLayer[i] = double.Parse(weightAndBias.GetData(4 + id * 5, 10 + i));
}
}
else
{
parameterManager.NeuralNetworkID = 0;
for (int i = 0; i < hiddenLayer.Length; i++)
{
for (int j = 0; j < inputLayer.Length; j++)
{
weightI_H[j, i] = UnityEngine.Random.Range(0f, 1f);
//Debug.Log("w:" + weightI_H[j,i]);
}
biasHiddenLayer[i] = UnityEngine.Random.Range(0f, 1f);
//Debug.Log("b:" + biasHiddenLayer[i]);
}
for (int i = 0; i < outputLayer.Length; i++)
{
for (int j = 0; j < hiddenLayer.Length; j++)
{
weightH_O[j, i] = UnityEngine.Random.Range(0f, 1f);
//Debug.Log("w:" + weightH_O[j,i]);
}
biasOutputLayer[i] = UnityEngine.Random.Range(0f, 1f);
//Debug.Log("b:" + biasOutputLayer[i]);
}
yield return(WriteWeightAndBias());
}
yield break;
}