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 |
---|---|
格式: | Article |
出版: |
Elsevier
2015
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/55829/ http://dx.doi.org/10.1016/j.measurement.2015.02.009 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Function finding for indirect determination of rock brittleness based on genetic programming and non-linear multiple regression models
由: Khandelwal, Manoj, et al.
出版: (2016) -
Adaptive neuro-fuzzy inference system model with application in wastewater systems
由: Saleh, Amjed Hassoon
出版: (2014) -
Adaptive Neuro-Fuzzy Inference System for diagnosis risk in dengue patients
由: Faisal, T., et al.
出版: (2012) -
Development of Adaptive Neuro-Fuzzy Inference System to Predict Concrete Compressive Strength
由: Seyed Hakim, Seyed Jamaldin, et al.
出版: (2024) -
Prediction of maximum in-cylinder pressure by adaptive neuro-fuzzy inference system method
由: Jaliliantabar, Farzad, et al.
出版: (2020)