Using neural net architectures in analog circuits

A method of using parallel analog building blocks with adjustable parameters was demonstrated to be able to achieve a wide array of analog circuit functionally with high accuracy. The method is generally useful when the penalty for needing to adapt the circuit to achieve performance is out weighted by the advantages in speed and power dissipation achievable by reducing the design constraints on the parallel building blocks which need not be very predictable.