The Lockheed probabilistic neural network processor

The probabilistic neural network processor (PNNP) is a custom neural network parallel processor optimized for the high-speed execution (three billion connections per second) of the probabilistic neural network (PNN) paradigm. The PNNP´s massively parallel circuitry can solve pattern recognition and classification problems many orders of magnitude faster than a software simulation of the PNN paradigm. When combined with the instant learning capability of the PNN paradigm, full investigations of large database problems can be done in a very short time. Real-time devices may be attached to the PNNP to show adaptability of the classifier in a dynamic environment