Search Results

You are looking at 1 - 10 of 78 items for :

  • "regression" x
  • Architecture and Architectonics x
  • Refine by Access: All Content x
Clear All

emerged as a promising tool for analyzing and predicting the behavior of complex systems like helical piles. In this study, three machine learning methods - adaptive neuro fuzzy inference system, random forest regression, and support vector regression

Open access

equations were developed using regression analysis [ 17 ]. These equations were used to evaluate the compressive strength by integrating variables such as percentage of replacement and age of curing days. The relationship between the strength parameters was

Open access

47 building projects were collected. The data include information about the rework cost in steel reinforcement works and the total cost overrun in the projects. Linear regression model was built to show the relation between rework cost and cost

Open access

V. Vapnik 1996 Support Vector Regression Machines Advances in Neural Information Processing System 9 155 – 161

Restricted access

content as binder gives dense structure to AAC by minimizing the voids and pores in micro-structure. Thus, the electrical resistivity of concrete enhances. Fig. 6. Electrical resistivity test results 4 Regression analysis Regression analysis is a

Open access

.5–1.49, and strongly dissatisfied: 0–0.49. In addition, inferential statistics were used. After Preiser et al. [ 5 ], stepwise multiple linear regression was used to determine which performance elements among the technical, functional, and behavioral elements

Open access

-5487.0000054 . [23] Mahamid I. ( 2011 ), Early cost estimating for road construction projects using multiple regression techniques . Australasian Journal of Construction

Open access

Abstract

Considering the increasing prospective regarding the various applications of Poly Ether Ether Ketone reinforced with 30% carbon fibres (PEEK CF30), there is a crucial need to investigate its machinability. In this work, focus is centered on non-linear regression based models that can be built to predict roug hness parameters R a and R t associated to turning of PEEK CF30 when using TiN coated cutting tool. Attention was paid to one-variant models that can be proposed to represent the effect of the cutting speed on the surface finish parameters. A broad class of non-linear interpolation models was considered. Their aptness to be used in modelling this particular application was assessed. The identification of the various mathematical models was performed by using experimental results that were obtained from CNC turning of PEEK samples. Based on statistical analysis, all the considered non-linear regression models proved to be highly significant and succeeded to fit adequately the experimental results.

Restricted access

rarely used in literature; however, significant tasks have been done in regression-based solutions, Artificial Neural Networks (ANNs), and reinforcement learning (RL). 1.1 Virtualization The technique of virtualization has the aim of efficient management

Open access

. , Mankovits T. ( 2013 ), Application of non-parametric regression in engineering optimization . Analele Universitatii din Oradea Fasciola Management si Inginerie Tehnologica / Annals of the University of Oradea Fascicle of Management and Technological

Open access