Title :
Matching decision model for self- adaptability of knowledge manufacturing system
Author :
Wang, Yufang ; Yan, Hongsen ; Meng, Xiangang
Author_Institution :
Key Lab. of Meas. & Control of Complex Syst. of Eng. of Minist. of Educ., Southeast Univ., Nanjing, China
Abstract :
Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturing mode and changed production environment factors. In this paper, a matching decision model for self-adaptability of knowledge manufacturing system based on the fuzzy neural network is proposed. The changed production environment factors are regarded as linguistic variable inputs. A modified momentum factor B-P algorithm consisting of information feed-forward process and the error back-propagation process is used. The proposed FNN model is employed to evaluate the matching degree of a car-lamp production manufacturing mode to variable environment units. Matching result indicates adaptive degree of manufacturing system. Experiment result demonstrates the method is effective.
Keywords :
backpropagation; decision making; feedforward neural nets; fuzzy neural nets; manufacturing systems; production engineering computing; car lamp production manufacturing mode; changed production environment factor; error backpropagation process; fuzzy neural network; information feed forward process; knowledge manufacturing system; linguistic variable inputs; matching decision model; matching degree; momentum factor backpropagation algorithm; self adaptability; Artificial neural networks; Fuzzy control; Fuzzy neural networks; Manufacturing; Neurons; Production; Training;
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
DOI :
10.1109/ICIST.2011.5765119
