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A multilayer perceptron is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. A MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one.
Here is a fully commented, plain and obvious code for a Multi Layer Perceptron Neural Network to Classify input data (Using two Train and Test Data Sets) into two or more groups or to estimate the desired output using the training data(regression).
This Network uses the back propagate algorithm to update its weights and biases.
in this code, the ModId.mat variable is the data set with train and test data sets and can be altered with any other feature data sets.
matlab
感知
神经网络
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