Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms

Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms

This work investigated the capability of multilayer perceptron artificial neural network (MLP–ANN), stochastic gradient boosting (SGB) tree, radial basis function artificial neural network (RBF–ANN), and adaptive neuro-fuzzy inference system (ANFIS) models to determine the heat capacity (<i>C&...

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Bibliographic Details
Main Authors: Reza Daneshfar, Amin Bemani, Masoud Hadipoor, Mohsen Sharifpur, Hafiz Muhammad Ali, Ibrahim Mahariq, Thabet Abdeljawad
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
ionic liquid
nanofluid
heat capacity
soft computing models
particle swarm optimization
Online Access:https://www.mdpi.com/2076-3417/10/18/6432

Internet

https://www.mdpi.com/2076-3417/10/18/6432

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