Neural network design for behavioral model generation with shape preserving properties

A practical method for the design of artificial neural networks (ANN) for behavioral modeling of various devices is presented. The approach has been applied to the modeling of micro-flow sensors and MOS transistors. It is shown that the ANN based behavioral models are accurate and computationally efficient.