wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual glmfwd wolffd@0: wolffd@0: wolffd@0: wolffd@0:

glmfwd wolffd@0:

wolffd@0:

wolffd@0: Purpose wolffd@0:

wolffd@0: Forward propagation through generalized linear model. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

wolffd@0:
wolffd@0: y = glmfwd(net, x)
wolffd@0: [y, a] = glmfwd(net, x)
wolffd@0: 
wolffd@0: wolffd@0: wolffd@0:

wolffd@0: Description wolffd@0:

wolffd@0: y = glmfwd(net, x) takes a generalized linear model wolffd@0: data structure net together with wolffd@0: a matrix x of input vectors, and forward propagates the inputs wolffd@0: through the network to generate a matrix y of output wolffd@0: vectors. Each row of x corresponds to one input vector and each wolffd@0: row of y corresponds to one output vector. wolffd@0: wolffd@0:

[y, a] = glmfwd(net, x) also returns a matrix a wolffd@0: giving the summed inputs to each output unit, where each row wolffd@0: corresponds to one pattern. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: glm, glmpak, glmunpak, glmerr, glmgrad
wolffd@0: Pages: wolffd@0: Index wolffd@0:
wolffd@0:

Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: