Here's an example code that creates a multilayer perceptron with 4 inputs and a hidden layer in Matlab using the neural network toolbox:
main.m878 chars28 lines
In this code, the input data is loaded and a feedforward neural network is created with one hidden layer of 10 neurons. The data is then split into training, validation, and testing sets, and the backpropagation algorithm trainlm
is used to train the network with a goal of reaching a mean squared error of 0.01. Finally, the neural network is tested on the input data and the learning progress during training is plotted.
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