demmlp1

Purpose

Demonstrate simple regression using a multi-layer perceptron

Synopsis 

demmlp1

Description

The problem consists of one input variable x and one target variable t with data generated by sampling x at equal intervals and then generating target data by computing sin(2*pi*x) and adding Gaussian noise. A 2-layer network with linear outputs is trained by minimizing a sum-of-squares error function using the scaled conjugate gradient optimizer.

See Also

mlp, mlperr, mlpgrad, scg
Pages: Index

Copyright (c) Ian T Nabney (1996-9)