Paper Title:
The Variables Reduction for Concrete Strength Prediction Model Using a Rough Sets Method
  Abstract

Based on the test results of 448 sets of concrete mixtures (which have been divided into three groups), a concrete strength prediction model has been established using a stepwise regression method. The kinds and qualities of raw materials, which has a total comes to 17 factors, has been considered as the independent variables. It has been found that the forecast precision is not always improving along with the increase of independent variable number, so one or more factors may be "redundant" and should be reducted. A rough sets (RS) method has been adopted for the variable reduction, with different parameter combinations are tested. The results has shown that in each cases the forecast precision of the model are higher than the Bowromi formula’s. Some regularities for the parameters’ selections are existed, but not all the parameters can be given positively, so a trial process is still necessary.

  Info
Periodical
Advanced Materials Research (Volumes 311-313)
Chapter
Structure Materials
Edited by
Zhongning Guo
Pages
1911-1915
DOI
10.4028/www.scientific.net/AMR.311-313.1911
Citation
B. Chen, X. J. Liu, "The Variables Reduction for Concrete Strength Prediction Model Using a Rough Sets Method", Advanced Materials Research, Vols. 311-313, pp. 1911-1915, 2011
Online since
August 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xi Yuan Zhang, Wei Wang, Huan Wang
Abstract:In order to assess the condition of smart grid equipment in real time, a method of information processing for condition monitoring based on...
338
Authors: Qian Xiang, Zhi Jun Lv, Jian Guo Yang, Xiang Gang Yin
Chapter 7: Mechanics Engineering and Materials
Abstract:Due to absence of an integral mathematical model, quality control in spinning process has been hard problem for a long time. Rough sets...
1021
Authors: Hai Zhong Tan
Chapter 3: Advanced Manufacturing Technology (1)
Abstract:The rule set which is acquired based on rough set theory can be classified into two categories: deterministic rules and probabilistic rules....
1579
Authors: Xiao Jing Liu, Wei Feng Du, Xiao Min
Chapter 4: Applied Computational Algorithms and Procedures in Engineering Practice
Abstract:The measure of the significance of the attribute and attribute reduction is one of the core content of rough set theory. The classical rough...
237