机床与液压
機床與液壓
궤상여액압
MACHINE TOOL & HYDRAULICS
2014年
7期
63-66
,共4页
高速铣削%正交试验%灰色理论%神经网络
高速鐉削%正交試驗%灰色理論%神經網絡
고속선삭%정교시험%회색이론%신경망락
High-speed milling%Orthogonal experiment%Grey system theory%Neural network
高速铣削加工技术在制造业中应用广泛，为了快捷、全面地获取其表面质量的加工工艺特性，设计了L9（34）多因素正交试验，在此基础上结合灰色理论小样本、简单与神经网络非线性超强的特性，建立了灰色神经组合模型，试验证明该模型具有精确的拟合精度和理想的泛化能力，为高速铣削加工工艺的仿真研究提供了一条新的途径。
高速鐉削加工技術在製造業中應用廣汎，為瞭快捷、全麵地穫取其錶麵質量的加工工藝特性，設計瞭L9（34）多因素正交試驗，在此基礎上結閤灰色理論小樣本、簡單與神經網絡非線性超彊的特性，建立瞭灰色神經組閤模型，試驗證明該模型具有精確的擬閤精度和理想的汎化能力，為高速鐉削加工工藝的倣真研究提供瞭一條新的途徑。
고속선삭가공기술재제조업중응용엄범，위료쾌첩、전면지획취기표면질량적가공공예특성，설계료L9（34）다인소정교시험，재차기출상결합회색이론소양본、간단여신경망락비선성초강적특성，건립료회색신경조합모형，시험증명해모형구유정학적의합정도화이상적범화능력，위고속선삭가공공예적방진연구제공료일조신적도경。
High-speed milling has been widely applied in the manufacturing industry.The orthogonal experiment of multivariate factors L9 (34 )was designed in order to acquire processing characteristics of surface quality efficiently and entirely.Based on this,a grey neural network combinational model was established by combining small sample of grey theory,simple and super strong character-istics of neural network non-linearity.Experimental results show that the model has accurate fitting precision and perfect generalization ability,which will provide a way to further simulation research of high-speed milling technics.
