demolgd1

Purpose

Demonstrate simple MLP optimisation with on-line gradient descent

Synopsis 

demolgd1

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 on-line gradient descent.

See Also

demmlp1, olgd
Pages: Index

Copyright (c) Christopher M Bishop, Ian T Nabney (1996, 1997)