The assessed results show that the prediction effect of artificial neutral networks model is better than that of multivariate nonlinear regression model , as well as the forecast effect of subsection model for water content of crude oil is better than that of united model 評價結果表明:神經網絡模型預測效果優于多元非線性回歸模型,原油含水率分段預測模型效果優于統一模型。
Then on the base of the prerequisite hypothesis , the author establishes three rural - urban land conversion models , from which the plural linear regression equation is hers best choice through careful case studies of three different regional cities in china 然后,在提出模型假設前提的基礎上,構思了三種農地城市流轉模型,通過對三個區域的實證分析,確定多元非線性回歸方程為最佳農地城市流轉模型。
The pattern recognition method of pipe mfl signals is put forward , the features of signals are extracted from the recorded flux leakage response and characterizing definition is introduced as well ; the main - part analysis , nonlinear regression , statistical methods are studied and used to establish characterization and compensation algorithms , the quantitative estimation of defect geometry and the result accuracy are accepted 引入了缺陷漏磁信號的模式識別方法,提出了缺陷漏磁場及缺陷外形尺寸的特征量;實現了用主成分分析、多元非線性回歸和統計識別分析等方法對缺陷漏磁信號波形進行特征提取和定量識別,精度在誤差準許范圍內。
Using multi - sensor technology , some parameters affecting the measurement of water content of crude oil are measured , and prediction models of water content of crude oil based on the methods of multivariate nonlinear regression and artificial neutral networks are presented , and then being improved by subsection modeling 摘要通過多傳感器技術對原油含水率測量有影響的多個參量進行測定,提出基于多元非線性回歸和神經網絡融合處理兩種方法建立原油含水率預測模型,并采用分段建模的方法分別進行改進。