void UpdateWeights(TrainingSetData.TrainingSetItem t) { double error = t.Output - CalculateOutput(t.input); totalError += Mathf.Abs((float)error); for (int i = 0; i < weights.Length; i++) { weights [i] = weights [i] + error * t.input [i]; } bias += error; }
string CalculateOutputResult(TrainingSetData.TrainingSetItem ti) { double expected = ti.Output; var b = new System.Text.StringBuilder(); b.Append("result for "); for (int i = 0; i < ti.input.Length; i++) { b.AppendFormat("{0} ", ti.input [i]); } double result = CalculateOutput(ti.input); b.AppendFormat(": {0}. Expected: {1}", result, expected); return(b.ToString()); }