Artificial Neural Network Applications to Process Planning

Lian Ding, Yong Yue, Kemal Ahmet

Research output: Contribution to conferencePaperpeer-review


Process planning is an effective way to integrate design and manufacturing. The use of computer techniques to automate the tasks of process planning has been the subject of extensive research for computer integrated manufacturing. This paper presents a survey of research in artificial neural network techniques for process planning. Neural network-based approaches can eliminate some drawbacks of the classic methods, and therefore have been prevalent in recent years. The four main issues related to the neural network-based techniques, namely the network architecture, input representation, the output format and the training method are discussed with the current applications. Finally, the research outcomes, limitations and future directions are outlined.
Original languageEnglish
Number of pages6
Publication statusPublished - 25 Jun 2001
EventInternational Conference on Imaging Science, Systems, and Technology (CISST 2001) - Las Vegas, Nevada, USA United States
Duration: 25 Jun 200128 Jun 2001


ConferenceInternational Conference on Imaging Science, Systems, and Technology (CISST 2001)
Country/TerritoryUSA United States
CityLas Vegas, Nevada


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