Evaluation Model of Adaptability to Dynamic Production Environments for Manufacturing System
In this paper, a fuzzy neural network model is presented to evaluate the adaptability of the existing manufacturing mode to the dynamic production environments. The dynamic production environments are generalized firstly and regarded as linguistic variable inputs of the fuzzy neural network model. A modified momentum factor B-P algorithm consists of information feed-forward process and the error backpropagation process is used. The proposed fuzzy neural network model is employed to evaluate the adaptability of a switching production manufacturing mode to the hypothetical production environment schemes consist of five experiments. Experiment results show the proposed model is effective.
Manufacturing system dynamic environments Adaptability Fuzzy neural network evalation model
Wang Yufang
College of Information &Control Engineering Nanjing University of Information Science& Technology Nanjing,China
国际会议
长春
英文
232-235
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）