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.

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

Citation

Christian Dawson (Ed.), “Applied Artificial Neural Networks,” Open Educational Resource (OER) - USK Library, accessed February 26, 2024, http://uilis.usk.ac.id/oer/items/show/3103.

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