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Diffstat (limited to 'sourcecodes/bnt-master/netlab3.3/mlpinit.m')
| -rw-r--r-- | sourcecodes/bnt-master/netlab3.3/mlpinit.m | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/netlab3.3/mlpinit.m b/sourcecodes/bnt-master/netlab3.3/mlpinit.m new file mode 100644 index 00000000..ae4e80b5 --- /dev/null +++ b/sourcecodes/bnt-master/netlab3.3/mlpinit.m @@ -0,0 +1,31 @@ +function net = mlpinit(net, prior) +%MLPINIT Initialise the weights in a 2-layer feedforward network. +% +% Description +% +% NET = MLPINIT(NET, PRIOR) takes a 2-layer feedforward network NET and +% sets the weights and biases by sampling from a Gaussian distribution. +% If PRIOR is a scalar, then all of the parameters (weights and biases) +% are sampled from a single isotropic Gaussian with inverse variance +% equal to PRIOR. If PRIOR is a data structure of the kind generated by +% MLPPRIOR, then the parameters are sampled from multiple Gaussians +% according to their groupings (defined by the INDEX field) with +% corresponding variances (defined by the ALPHA field). +% +% See also +% MLP, MLPPRIOR, MLPPAK, MLPUNPAK +% + +% Copyright (c) Ian T Nabney (1996-2001) + +if isstruct(prior) + sig = 1./sqrt(prior.index*prior.alpha); + w = sig'.*randn(1, net.nwts); +elseif size(prior) == [1 1] + w = randn(1, net.nwts).*sqrt(1/prior); +else + error('prior must be a scalar or a structure'); +end + +net = mlpunpak(net, w); + |