BFGSFuNN (97 kB) trains a FuNN using BFGS
training. Click here
for details.
BootFuNN (101 kB) trains a FuNN using bootstrapped
backpropagation training. Click here
for details.
CreateFuNN (94 kB) creates an initialised
FuNN. Click here
for details.
GenTrain (112 kB) uses a genetic algorithm to
train a FuNN. Click here
for details.
LWFFuNN (96 kB) trains a FuNN using learning
with forgetting training. Click here
for details.
MakFuNNLbl (109 kB) generates labels for a
FuNN's inputs, outputs and membership functions. Click here
for details.
RecallFuNN (91 kB) recalls a FuNN. Click here
for details.
REFuNN (116 kB) will extract fuzzy rules from
a FuNN. Click here
for details.
RIFuNN (110 kB) will insert fuzzy rules into a
FuNN. Click here
for details.
TrainFuNN (96 kB) trains a FuNN using the backpropagation
algorithm. Click here
for details.
This page is maintained by Michael Watts (http://mike.watts.net.nz)
Last modified on: 12/10/98.