A low-power Neuro-Fuzzy pulse stream system

This paper describes a VLSI device design for low-power neuro-fuzzy computation, which is based on coherent pulse width modulation. The device can implement either multi-layer perceptrons, radial basis functions or fuzzy paradigms. In all cases, weights are stored as a voltage on a pair of capacitors, which are sequentially refreshed by a built-in self-refresh circuit.