PolyNet is derived from ABM . PolyNet uses decimal neurons instead of binary neurons. PolyNet will allow a maximum number of 10,000 decimal neurons to be used. Given a classification and part of a pattern, complete the pattern. The ability to learn is a fundamental trait of intelligence.
Neural nets can learn from examples.
As a neural net simulator, PolyNet can also learn from examples. PolyNet is a blank artificial neural network. PolyNet has to be trained before it can perform even one task for you. In the training phase, data is imposed upon a neural network to force the network to remember the pattern of training data. A neural network can remember the training data pattern by adjusting its internal synaptic connections.