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Summary of important user-visible changes for Neural Networks package 0.2.0:
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** The following datasets have been added: house_dataset
** The functions ind2vec and vec2ind have been completely rewritten to accept
a second argument as input and output respectively.
** The function dividerand has been completely rewritten to accept a matrix
or a number as input.
** The following functions are new:
minmax
** The following functions have been deprecated:
min_max (replaced by minmax)
dhardlim.m
dposlin.m
dsatlin.m
dsatlins.m
** The new function `minmax' meant to replace `min_max' can now handle single
row matrices and cell arrays in a Matlab compatible way.
** The functions hardlim, hardlims, poslin, purelin, satlin, and satlins, have
been completely rewritten to accept arrays (previously it only handled
scalars correctly), and to always returns values of class double.
** The following functions have been made private:
__analyzerows.m __printBiasConnect.m __printNumLayerDelays.m
__calcjacobian.m __printBiases.m __printNumLayers.m
__calcperf.m __printB.m __printNumOutputs.m
__checknetstruct.m __printInitFcn.m __printNumTargets.m
__copycoltopos1.m __printInitParam.m __printOutputConnect.m
__dlogsig.m __printInputConnect.m __printOutputs.m
__dpurelin.m __printInputs.m __printPerformFcn.m
__dradbas.m __printInputWeights.m __printPerformParam.m
__dtansig.m __printIW.m __printTargetConnect.m
__getx.m __printLayerConnect.m __printTargets.m
__init.m __printLayers.m __printTrainFcn.m
__mae.m __printLayerWeights.m __printTrainParam.m
__mse.m __printLW.m __randomisecols.m
__newnetwork.m __printMLPHeader.m __rerangecolumns.m
__optimizedatasets.m __printNetworkType.m __setx.m
__printAdaptFcn.m __printNumInputDelays.m __trainlm.m
__printAdaptParam.m __printNumInputs.m
** Package is no longer automatically loaded.
** Package is now dependent on Octave 3.4 or later.