.NeuralNetwork.Examples.RecurrentNeuralNetwork

Information

This model show an example of a Recurrent NeuralNetwork created with the Neural Network library. A Recurrent Neural Network is composed by a layer of neurons which adopts the TanSig activation function and a layer of newrons which perform a LogSig transformation.

This example is made using the following MatLab commands:

These commands create and train a new Recurrent Neural Network (net). The detail about the network created can be see exploring the network object created by matlab. Which is important for our example are these informations:

In this example the parameters of the network are specified using two different way:

The model is simulated on the same data used in MatLab so it is possible to test if the model gives the expected output.

Release Notes:


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