Neural manufacturing: a novel concept for processing modeling, monitoring, and control

Chi Yung Fu; Loren Petrich; Benjamin Law

doi:10.1117/12.221322

19 September 1995 Neural manufacturing: a novel concept for processing modeling, monitoring, and control

Chi Yung Fu, Loren Petrich, Benjamin Law

Proceedings Volume 2637, Process, Equipment, and Materials Control in Integrated Circuit Manufacturing; (1995) https://doi.org/10.1117/12.221322
Event: Microelectronic Manufacturing '95, 1995, Austin, TX, United States

Abstract

Semiconductor fabrication lines have become extremely costly, and achieving a good return from such a high capital investment requires efficient utilization of these expensive facilities. It is highly desirable to shorten processing development time, increase fabrication yield, enhance flexibility, improve quality, and minimize downtime. We propose that these ends can be achieved by applying recent advances in the areas of artificial neural networks, fuzzy logic, machine learning, and genetic algorithms. We use the term neural manufacturing to describe such applications. This paper describes our use of artificial neural networks to improve the monitoring and control of semiconductor process.

Citation Download Citation

Chi Yung Fu, Loren Petrich, and Benjamin Law "Neural manufacturing: a novel concept for processing modeling, monitoring, and control", Proc. SPIE 2637, Process, Equipment, and Materials Control in Integrated Circuit Manufacturing, (19 September 1995); https://doi.org/10.1117/12.221322

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