Indirect measure of thermal conductivity of rocks through adaptive neuro-fuzzy inference system and multivariate regression analysis
Thermal conductivity is an important property of rocks which is considered for energy-efficient building construction. This paper is aimed to predict the thermal conductivity of rocks utilizing the adaptive neuro-fuzzy inference system (ANFIS) and multivariate regression (MVR) analysis. In this rega...
Saved in:
Main Authors: | Hassani, Mohsen, Marto, Aminaton, Khezri, Nima, Kalatehjari, Roohollah |
---|---|
Format: | Article |
Published: |
Elsevier
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/55829/ http://dx.doi.org/10.1016/j.measurement.2015.02.009 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Function finding for indirect determination of rock brittleness based on genetic programming and non-linear multiple regression models
by: Khandelwal, Manoj, et al.
Published: (2016) -
Adaptive neuro-fuzzy inference system model with application in wastewater systems
by: Saleh, Amjed Hassoon
Published: (2014) -
Adaptive Neuro-Fuzzy Inference System for diagnosis risk in dengue patients
by: Faisal, T., et al.
Published: (2012) -
Prediction of maximum in-cylinder pressure by adaptive neuro-fuzzy inference system method
by: Jaliliantabar, Farzad, et al.
Published: (2020) -
Adaptive Neuro-Fuzzy Inference System For Breath Phase Detection And Breath Cycle Segmentation
by: Sundaraj, Kenneth, et al.
Published: (2017)