TY - GEN
T1 - Using neural networks for process planning
AU - Huang, Samuel H.
AU - Zhang, Hong Chao
PY - 1995
Y1 - 1995
N2 - Process planning has been recognized as an interface between computer-aided design and computer-aided manufacturing. Since the late 1960s, computer techniques have been used to automate process planning activities. AI-based techniques are designed for capturing, representing, organizing, and utilizing knowledge by computers, and are extremely useful for automated process planning. To date, most of the AI-based approaches used in automated process planning are some variations of knowledge-based expert systems. Due to their knowledge acquisition bottleneck, expert systems are not sufficient in solving process planning problems. Fortunately, AI has developed other techniques that are useful for knowledge acquisition, e.g., neural networks. Neural networks have several advantages over expert systems that are desired in today's manufacturing practice. However, very few neural network applications in process planning have been reported. We present this paper in order to stimulate the research on using neural networks for process planning. This paper also identifies the problems with neural networks and suggests some possible solutions, which will provide some guidelines for research and implementation.
AB - Process planning has been recognized as an interface between computer-aided design and computer-aided manufacturing. Since the late 1960s, computer techniques have been used to automate process planning activities. AI-based techniques are designed for capturing, representing, organizing, and utilizing knowledge by computers, and are extremely useful for automated process planning. To date, most of the AI-based approaches used in automated process planning are some variations of knowledge-based expert systems. Due to their knowledge acquisition bottleneck, expert systems are not sufficient in solving process planning problems. Fortunately, AI has developed other techniques that are useful for knowledge acquisition, e.g., neural networks. Neural networks have several advantages over expert systems that are desired in today's manufacturing practice. However, very few neural network applications in process planning have been reported. We present this paper in order to stimulate the research on using neural networks for process planning. This paper also identifies the problems with neural networks and suggests some possible solutions, which will provide some guidelines for research and implementation.
UR - http://www.scopus.com/inward/record.url?scp=0029539525&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029539525
SN - 0819420123
SN - 9780819420121
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 429
EP - 440
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Yang, Shuzi
A2 - Zhou, Ji
A2 - Li, Cheng-Gang
T2 - International Conference on Intelligent Manufacturing
Y2 - 14 June 1995 through 17 June 1995
ER -