Please wait a minute...
Chinese Journal of Engineering Design  2004, Vol. 11 Issue (2): 73-76    DOI:
    
New cost-tolerance function based on fuzzy neural networks
 CAO  Yan-Long, LIU  Bao-Jun, YANG  Jiang-Xin
Institute of Modern Manufacture Engineering, Zhejiang University, Hangzhou 310027, China
Download: HTML     PDF(138KB)
Export: BibTeX | EndNote (RIS)      

Abstract  A new cost-tolerance model, which closely links with real technological process, is built using fuzzy neural networks. The influence of process factor on the manufacturing cost is analyzed and a fuzzy process factor is introduced using fuzzy mathematics principle. Then fuzzy neural network is applied to modeling of production cost-tolerance model. The inputs of the network are tolerance and fuzzy process factor and the output is manufacturing cost.

Key wordscost-tolerance function      fuzzy neural network      manufacture environment     
Published: 28 April 2004
Cite this article:

CAO Yan-Long, LIU Bao-Jun, YANG Jiang-Xin. New cost-tolerance function based on fuzzy neural networks. Chinese Journal of Engineering Design, 2004, 11(2): 73-76.

URL:

https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2004/V11/I2/73


基于模糊神经网络的公差-成本模型研究

研究了面向制造环境的公差-成本模型。对制造环境中有关的加工因素进行分类及模糊化处理,构造了加工因素的成本模糊影响系数,并以此系数和零件公差作为输入,建立了基于模糊神经网络的公差-成本模型。此模型在表征加工成本、公差关系上的精度较高,更适应面向制造公差设计的要求。

关键词: 公差成本模型,  模糊神经网络,  制造环境 
[1] Jie YANG,Zhuang-zhuang PENG,Shi-jie WANG,Cong MA,Long WANG,Guo-lin DUAN. Study on fuzzy neural network PID stability control for extrusion force of ceramic slurry 3D printer[J]. Chinese Journal of Engineering Design, 2023, 30(1): 65-72.