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What is Perceptron Training with MLP in MATLAB about?

This document describes experiments using a multilayer perceptron neural network to model three different equations: 2*sin(2*pi*0.4*X)+sin(X^2), 3*cos(2*pi*12)+exp(power(X,2)), and power(2,-1)*[exp(i*X)+exp(-i*X)+2*exp(X)]. For each equation, the neural network is trained and tested using different numbers of neurons and iterations to determine the error rate. The results, including error percentage and classification percentage, are displayed in tables for each equation modeled.

Author

Anibal Raynol Medrano Valera

Language

EN