Analog Electronic Neural Network Circuits

The large interconnectivity and the moderate precision required in neural network models present new opportunities for analog computing. Analog circuits for a wide variety of problems such as pattern matching, optimization and learning have been proposed and a few have been built. Most of the circuits built so far are relatively small, exploratory designs. The most mature circuits are those for template matching and chips performing this function are now being applied to pattern recognition problems.