Single Chip-VLSI-realization of a neural net for image recognition

It will be shown the newest results of a hardware realization of a neural net for fast decision making functions in real time. There is a digital micro core with several functions proceeding of the learning and testing of the net, supervising of training process and computation of some calculations in pre-and post-processing. The patterns are automatically presented to the network. The heart of the classifier is a trainable integrated analog neural network structure. Because of its speed the hardware realization is able to solve real time image recognition problems. Simulations with a standard particle image have shown good results not only for the 2D case, but also for the 3D case. Particle positions are extracted from image series first. In a second step, noisy particles were identified from images.