搜索结果: 31-45 共查到“工学 regression”相关记录64条 . 查询时间(0.075 秒)
EXPLORING SCALE EFFECT USING GEOGRAPHICALLY WEIGHTED REGRESSION ON MASS DATASET OF URBAN ROBBERY
GIS Urban Spatial Information Analysis Exploration
font style='font-size:12px;'>
2014/4/24
Urban geographers have been studying to explain factors influencing crime on cases limited by their study areas. Researchers have a
common opinion that explanatory variables modelling crime on tho...
Understanding spatial variations in the impact of accessibility on land value using geographically weighted regression
accessibility light rail, land value land value capture
font style='font-size:12px;'>
2013/11/21
In recent years, land value capture has attracted increasing attention as a result of its potential for funding transport infrastructure. There has been substantial research into this issue recently i...
AN INVESTIGATION OF LOCAL EFFECTS ON SURFACE WARMING WITH GEOGRAPHICALLY WEIGHTED REGRESSION (GWR)
Urban Warming Thermal Landscape
font style='font-size:12px;'>
2014/4/29
Urban warming is sensitive to the nature (thermal properties, including albedo, water content, heat capacity and thermal conductivity) and the placement (surface geometry or urban topography) of urban...
Statistical Models for Long-range Forecasting of Southwest Monsoon Rainfall over India Using Step Wise Regression and Neural Network
Monsoon ISMR LRF Step-Wise Regression Neural-Networks
font style='font-size:12px;'>
2013/2/26
The long-range forecasts (LRF) based on statistical methods for southwest monsoon rainfall over India (ISMR) has been issued by the India Meteorological Department (IMD) for more than 100 years. Many ...
The Asymptotic Study of Smooth Entropy Support Vector Regression
Support Vector Machine SSVR Entropy Function Asymptotic Solution Forecasting
font style='font-size:12px;'>
2013/1/28
In this paper, a novel formulation, smooth entropy support vector regression (SESVR), is proposed, which is a smooth unconstrained optimization reformulation of the traditional linear programming asso...
Support Vector Regression Model of Chlorophyll-a during Spring Algal Bloom in Xiangxi Bay of Three Gorges Reservoir, China
Support Vector Regression Chlorophyll-A Algal Bloom Three Gorges Reservoir
font style='font-size:12px;'>
2013/3/11
To study the relationship between chlorophyll-a and environmental variables during spring algal bloom in Xiangxi Bay of Three Gorges Reservoir, the support vector regression (SVR) model was establishe...
Hybrid data mining-regression for infrastructure risk assessment based on zero-inflated data
Classification tree Risk assessment Regression Zero-inflated
font style='font-size:12px;'>
2012/4/22
Infrastructure disaster risk assessment seeks to estimate the probability of a given customer or area losing service during a disaster, sometimes in conjunction with estimating the duration of each ou...
Image Interpolation Via Regularized Local Linear Regression
Interpolation Regression
font style='font-size:12px;'>
2013/7/24
Abstract—The linear regression model is a very attractive toolto design effective image interpolation schemes. Some regression-based imageinterpolation algorithms have been proposedin the literature, ...
Application of a Novel Method for Machine Performance Degradation Assessment Based on Gaussian Mixture Model and Logistic Regression
performance degradation assessment Gaussian mixture model logistic regression
font style='font-size:12px;'>
2011/8/4
The currently prevalent machine performance degradation assessment techniques involve estimating a machine's current condition based upon the recognition of indications of failure features, which enta...
Regression-class Tree based Method for Efficient Speaker Identification
Regression-class Tree Method Efficient Speaker Identification
font style='font-size:12px;'>
2013/6/28
In this paper an efficient speaker identification (SpkID) method is proposed. In GMM-based speaker recognition, the model training and the likelihood score computations are very time...
JOINT LEARNING FOR SIDE INFORMATION AND CORRELATION MODEL BASED ON LINEAR REGRESSION MODEL IN DISTRIBUTED VIDEO CODING
Side information correlation model linear regression model joint learning distributed video coding
font style='font-size:12px;'>
2013/7/16
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 ...
A Regression Model of the Number of Taxicabs in U.S. Cities
Regression Model Taxicabs U.S. Cities
font style='font-size:12px;'>
2009/10/19
In cities that control the number of taxicabs by law or regulation, setting the number
of cabs is one of the most important decisions made by taxicab regulators and
elected officials. Licensing eith...
THE EFFECT OF SURFACE REGRESSION ON THE DOWNWARD FLAME SPREAD OVER A SOLID FUEL IN A QUIESCENT AMBIENT
flame spread polymethyl methacrylate surface regression
font style='font-size:12px;'>
2009/10/14
The present work is addressed to the numerical study of the transient laminar opposed-flow flame spread over a solid fuel in a quiescent ambient. The transient governing equations - full Navier-Stokes...
Regression Analysis of Soil Compressibility
consolidation statistics index parameters settlement
font style='font-size:12px;'>
2009/10/13
A detailed study was carried out to determine the correlations between consolidation properties such as compression index, overconsolidation ratio and various index properties based on test results ob...
Regression Models for Predicting the Behavior of Sand Reinforced with Waste Plastic
Energy absorption capacity Deviator stress Initial stiffness Cohesion Friction angle
font style='font-size:12px;'>
2009/10/9
This paper presents regression models for predicting the behavior of sand mixed with waste plastic. For this purpose, drained triaxial compression tests with strain measurements were conducted on sand...