public void TestNetwork() { var wordVector = new WordVector() {Name = "test"}; var elements = new[] {0.1, 0.2, 0.3}; elements.CopyTo(wordVector.Elements,0); var context = new[] {0.4, 0.5}; var factory = new NeuralNetworkFactory(); var network = factory.CreateNeuralNetwork(2, 2); var examples = new[] { new Example {Input = new [] {1.0, 0.0}, ExpectedResult = new []{1.0}}, new Example {Input = new [] {0.0, 1.0}, ExpectedResult = new []{1.0}}, new Example {Input = new [] {1.0, 1.0}, ExpectedResult = new []{0.0}}, new Example {Input = new [] {0.0, 0.0}, ExpectedResult = new []{0.0}} }; var error = network.Train(examples,0.1); var result = network.Run(new[] {0.0, 0.0}); result[0].Should().BeLessOrEqualTo(error + 0.1); }
public void TestNeuralNetworkFactory() { var target = new NeuralNetworkFactory(); var result = target.CreateNeuralNetwork(3, 2); result.Should().BeAssignableTo<AForgeNeuralNetwork>(); }