Custom VLSI ASIC for automotive applications with recurrent networks
Raoul Tawel, Nazeeh Aranki, G.V. Puskorius, K. A. Marko, L.A. Feldkamp, John V. James, Gerald Jesion, Timothy M. Feldkamp · 2002
Demands on the performance of vehicle control and diagnostic systems are steadily increasing as a consequence of stiff global competition and government mandates. Neural networks provide a means of creating control and diagnostic strategies that will help in meeting these demands efficiently and robustly. This paper describes a VLSI design that permits such networks to be executed in real time as well as the application in misfire detection, that served as a focus for the collaborative effort.