Published September 4, 2017
| Version v2
Software
Open
ECNet: Large scale machine learning projects for fuel property prediction
Authors/Creators
- 1. Lead Programmer & Research Assistant
- 2. Director of UML Energy & Combustion Research Laboratory
Description
ECNet is an open source Python package for creating large scale machine learning projects with a focus on fuel property prediction. ECNet can predict a variety of fuel properties including cetane number, octane number, and yield sooting index using quantitative structure-property relationship (QSPR) input parameters.
Files
ecnet_v1.2.5.dev1.zip
Files
(4.7 MB)
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md5:3f4e07d8e950bf86ae0970c2f882e5ad
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Additional details
Related works
- Is cited by
- 10.1016/j.fuel.2017.06.015 (DOI)
- 10.1115/ICEF2016-9383 (DOI)