Designs and applies neural and conventional regression/approximation networks.
Systems: Windows 2000 and
options and utilities:
Sizing, feature selection, and KL transformation.
MLP, functional link net, piecewise linear network (PLN).
Self-organizing map, K-means clustering.
features: Many options
include real-time graphics. Training speed is considerably faster and error is
smaller than that available elsewhere. Feature selection (subsetting) is
Freeware limitations: MLP has 10 or fewer hidden units, PLN has 10 or fewer clusters.