搜索结果: 46-60 共查到“工学 regression”相关记录64条 . 查询时间(0.044 秒)
Comparison of Regression and Artificial Neural Network Models for Surface Roughness Prediction with the Cutting Parameters in CNC Turning
Regression Artificial Neural Network Models Surface Roughness Prediction Cutting Parameters CNC Turning
font style='font-size:12px;'>
2009/9/4
Surface roughness, an indicator of surface quality, is one of the most specified customer requirements in machining of parts. In this study, the experimental results corresponding to the effects of di...
Studies on Determination of Soy Sauce Chromaticity Using a Synthesized Combination of a Spectro Colorimetric Method and the Multiple Regression Analysis
soy sauce chromaticity spectro colorimetric method regression analysis
font style='font-size:12px;'>
2009/6/18
A method of determining soy sauce chromaticity by a spectro colorimetric method was investigated to objectively evaluate the chromaticity usually decided by a visual sensory test. The objective chroma...
Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part II: Veri.cation of Regression Models
layer diagrams surface diagrams learning quality validation quality
font style='font-size:12px;'>
2009/6/16
A verification of regressive models based on artificial neural networks and multiple regression
analysis was carried out. The analysis of the results obtained showed that artificial
neural networks ...
Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part I: Identification of Spliced Joints of Combed Wool Yarn by Artificial Neural Networks and Multiple Regression
combed wool yarn pneumatically spliced joints additive quantities
font style='font-size:12px;'>
2009/6/15
Applying the software environment Statistica for neural networks allowed the use of artificial
neural networks and regression analysis to predict the physical properties of unknotted
joints of yarn ...
Forced regression
forced regression falling-stage systems tract regressive surface of erosion
font style='font-size:12px;'>
2009/5/8
In this commentary article, architecture, component lithofacies, and bounding surface features of forced-regressive deposits are discussed in terms of a four-fold classification scheme of sequence st...
Estimating Percent Tree Cover Using Regression Tree Method with Very-High-Resolution QuickBird Images as Training Data
tree cover regression tree method QuickBird
font style='font-size:12px;'>
2009/3/17
The estimation of tree cover area at continental scale is becoming more important than before due to the needs to improve our understanding of carbon dynamics. The estimation of percent tree cover of ...
Linear Regression Model of the Ash Mass Fraction and Electrical Conductivity for Slovenian Honey
honey ash electrical conductivity
font style='font-size:12px;'>
2009/2/19
Mass fraction of ash is a quality criterion for determining the botanical origin of honey. At present, this parameter is generally being replaced by the measurement of electrical conductivity (κ). The...
The Prediction of Cotton Ring Yarn Properties from AFIS Fibre Properties by Using Linear Regression Models
cotton yarn cotton fibre AFIS ring spinning regression analysis
font style='font-size:12px;'>
2009/2/16
In this paper some models for predicting the most important ring yarn quality characteristics were built by using AFIS (Advanced Fibre Information System) data. Yarn count, twist and roving properties...
Prediction of Fuzz Fibres on Fabric Surface by Using Neural Network and Regression Analysis
fabric fuzz image processing neural network regression analyses
font style='font-size:12px;'>
2009/2/13
Fuzz on the fabric surface is very important for appearance quality, since it can lead to pilling and an unpleasant handle and appearance. Thus, it is important to predict the fuzz value on the fabric...
The Prediction of Elongation and Recovery of Woven Bi-Stretch Fabric Using Artificial Neural Network and Linear Regression Models
woven fabric elongation recovery artificial neural network
font style='font-size:12px;'>
2009/2/11
Stretch woven fabrics are widely used because of their good elongation and recovery (residual extension) properties. Several parameters and test method are used to measure the properties of these fabr...
Joint Learning for Side Information and Correlation Model based on Linear Regression Model in Distributed Video Coding
Side Information Correlation Model Linear Regression Model Distributed Video Coding
font style='font-size:12px;'>
2010/12/20
The coding efficiency of distributed video coding system is significantly determined by the side information quality and correlation model. Motivated by theoretical analysis of the
maximum likelihood...
NON-LINEAR HYSTERETIC STRUCTURAL IDENTIFICATION BY UTILIZING ON-LINE SUPPORT VECTOR REGRESSION
support vector regression on-line identification hysteretic structure nonlinear
font style='font-size:12px;'>
2008/12/22
Structures exhibit highly nonlinear characters under severe loads such as strong seismic excitations. Therefore, it is crucial to make nonlinear structural identification in civil engineering. Howeve...
Locally Linear Regression for Pose Invariant Face Recognition
Locally Linear Regression Pose Invariant Face Recognition
font style='font-size:12px;'>
2010/12/16
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably,which is one of the bottlenecks in face recognition. One of the
possible solutions is ge...
Local Linear Regression (LLR) for Pose Invariant Face Recognition
Local Linear Regression Pose Invariant Face Recognition
font style='font-size:12px;'>
2010/12/16
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. One of the possible s...
Improving Particle Filter with Support Vector Regression for Efficient Visual Tracking
Improving Particle Filter Vector Regression Efficient Visual Tracking
font style='font-size:12px;'>
2010/12/15
Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density of the state evolution...