public void CorrectlyDivideByFuzzyNumber()
{
var values = new[]
{
new[] {new RealNumber(1.0), new RealNumber(2.0), new RealNumber(3.0)},
new[] {new RealNumber(1.0), new RealNumber(2.0), new RealNumber(3.0)},
new[] {new RealNumber(0.0), new RealNumber(0.0), new RealNumber(4.0)},
new[] {new RealNumber(0.0), new RealNumber(1.0), new RealNumber(0.0)},
};
var matrix = new Matrix(values);
var denominator = new RealNumber(-2.0);
var expected = new[]
{
new[] {new RealNumber(-0.5), new RealNumber(-1.0), new RealNumber(-1.5)},
new[] {new RealNumber(-0.5), new RealNumber(-1.0), new RealNumber(-1.5)},
new[] {new RealNumber(0.0), new RealNumber(0.0), new RealNumber(-2.0)},
new[] {new RealNumber(0.0), new RealNumber(-0.5), new RealNumber(0.0)},
};
var result = matrix.Div(denominator);
for (int i = 0; i < matrix.Rows; i++)
for (int j = 0; j < matrix.Columns; j++)
Assert.That(result[i, j].GetMod().X, Is.EqualTo(expected[i][j].GetMod().X));
}
public void CorrectlyMultiplyByFuzzyNumber()
{
var values = new[] { new RealNumber(1.0), new RealNumber(2.0), new RealNumber(-1.0) };
IVector vector = new Vector(values);
var multiplier = new RealNumber(3.0);
vector = vector.Mul(multiplier);
Assert.That(vector.Length, Is.EqualTo(3));
Assert.That(vector[0].GetMod().X, Is.EqualTo(new RealNumber(3.0).GetMod().X));
Assert.That(vector[1].GetMod().X, Is.EqualTo(new RealNumber(6.0).GetMod().X));
Assert.That(vector[2].GetMod().X, Is.EqualTo(new RealNumber(-3.0).GetMod().X));
}
public void CorrectlyMultiplyByFuzzyNumber()
{
var values = new[]
{
new[] {new RealNumber(2.0), new RealNumber(2.0), new RealNumber(4.0)},
new[] {new RealNumber(4.0), new RealNumber(6.0), new RealNumber(6.0)},
new[] {new RealNumber(8.0), new RealNumber(8.0), new RealNumber(10.0)},
new[] {new RealNumber(10.0), new RealNumber(12.0), new RealNumber(12.0)},
};
var matrix = new Matrix(values);
var multiplier = new RealNumber(-0.5);
var results = new[]
{
new[] {new RealNumber(-1.0), new RealNumber(-1.0), new RealNumber(-2.0)},
new[] {new RealNumber(-2.0), new RealNumber(-3.0), new RealNumber(-3.0)},
new[] {new RealNumber(-4.0), new RealNumber(-4.0), new RealNumber(-5.0)},
new[] {new RealNumber(-5.0), new RealNumber(-6.0), new RealNumber(-6.0)},
};
var result = matrix.Mul(multiplier);
for (int i = 0; i < matrix.Rows; i++)
for (int j = 0; j < matrix.Columns; j++)
Assert.That(result[i, j].GetMod().X, Is.EqualTo(results[i][j].GetMod().X));
}
/// <summary>
/// This function is used to generate appropriate weights for net
/// </summary>
/// <returns></returns>
private static IFuzzyNumber GenerateNumbers()
{
IFuzzyNumber result;
switch (_layer)
{
//hidden1
case 0:
//first weight in first neuron
result = new RealNumber(1.0);
break;
case 1:
//second weight in first neuron
result = new RealNumber(-1.5);
break;
case 2:
//first weight in second neuron
result = new RealNumber(2.0);
break;
case 3:
//second weight in second neuron
result = new RealNumber(1.0);
break;
case 4:
result = new RealNumber(-1.0);
break;
case 5:
result = new RealNumber(2.0);
break;
case 6:
result = new RealNumber(-1.0);
break;
case 7:
result = new RealNumber(-1.0);
break;
//output layer
case 8:
//first weight in first neuron
result = new RealNumber(2.0);
break;
case 9:
//first weight in second neuron
result = new RealNumber(4.0);
break;
case 10:
//second weight in first neuron
result = new RealNumber(2.0);
break;
case 11:
//second weight in second neuron
result = new RealNumber(2.0);
break;
default:
result = new RealNumber(0.0);
break;
}
_layer++;
return result;
}
