Applied Artificial Neural Networks
Dublin Core
Title
Applied Artificial Neural Networks
Subject
Neural Networks
Description
Heptafluoropropane (R227ea) is a good refrigerant that reduces greenhouse effects and ozone depletion. In practical applications, we usually have to know the compressed liquid densities at different temperatures and pressures. However, the measurement requires a series of complex apparatus and operations, wasting too much manpower and resources. To solve these problems, here, Song and Mason equation, support vector machine (SVM), and artificial neural networks
(ANNs) were used to develop theoretical and machine learning models, respectively, in order to predict the compressed liquid densities of R227ea with only the inputs of temperatures and pressures.
(ANNs) were used to develop theoretical and machine learning models, respectively, in order to predict the compressed liquid densities of R227ea with only the inputs of temperatures and pressures.
Creator
Christian Dawson (Ed.)
Source
https://www.mdpi.com/books/pdfview/book/236
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2016
Contributor
Baihaqi
Rights
Creative Commons
Format
Ebook
Language
English
Type
Textbooks
Files
Collection
Citation
Christian Dawson (Ed.), “Applied Artificial Neural Networks,” Open Educational Resource (OER) - USK Library, accessed September 12, 2024, http://uilis.usk.ac.id/oer/items/show/3103.