Intelligent design retrieval and packaging system : application of neural networks in design and manufacturing

We describe a hybrid intelligent design retrieval and packaging system by utilizing techniques such as fuzzy associative memory, backpropagation neural networks, and adaptive resonance theory. As an illustrative example, a prototype of the proposed system has been developed to intelligently retrieve a design from a standard set of chair designs that can satisfy the required needs. The system then automatically passes the design to an intelligent packaging system which locates the parts needed from a designated area and packages the parts in the packaging area. This novel application of neural networks could establish the basic foundation of a true intelligent manufacturing system.

[1]  Nallan C. Suresh,et al.  A neural network system for shape-based classification and coding of rotational parts , 1991 .

[2]  D. Casasent,et al.  Image processing for image understanding with neural nets , 1989, International 1989 Joint Conference on Neural Networks.

[3]  Nam P. Suh,et al.  principles in design , 1990 .

[4]  S Mangrulkar,et al.  Artificial neural systems. , 1990, ISA transactions.

[5]  Cihan H. Dagli,et al.  A neural network approach to group technology , 1993 .

[6]  Cihan H. Dagli,et al.  From fuzzy input requirements to crisp design , 1993 .

[7]  Bart Kosko,et al.  Fuzzy associative memories , 1991 .

[8]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[9]  Berthold K. P. Horn.  Robot vision , 1986, MIT electrical engineering and computer science series.