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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
This is ANN trained application to predict digits from 0 - 9.
It can predict digits from 0-9 with Artificial Neural Network. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with Neural Network. It may predict wrong digit due to very low sample data but it work 90% correctly.
Note: JRE 1.6 is required to run this application.
A disk based production quality RTree based upon Guttmans quadratic split algorithm having following features:
Buffering with dirty write,
Index joins,
Tree Seeding,
Window and NN queries,
Runtime STR Packing capability,
Completely Thread safe.