tag:joss.theoj.org,2005:/papers/by/John%20MackJournal of Open Source Software2019-07-11T22:16:07ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/9612019-07-11T22:16:07Z2021-02-15T11:32:18ZECabc: A feature tuning program focused on Artificial Neural Network hyperparametersacceptedv2.2.22019-04-12 22:05:32 UTC392019-07-11 22:16:07 UTC420191420SanskritiSharmaEnergy and Combustion Research Laboratory, University of Massachusetts Lowell, Lowell, MA 01854, U.S.A.0000-0002-9884-7351HernanGelaf-RomerEnergy and Combustion Research Laboratory, University of Massachusetts Lowell, Lowell, MA 01854, U.S.A.0000-0003-0690-576XTravisKesslerEnergy and Combustion Research Laboratory, University of Massachusetts Lowell, Lowell, MA 01854, U.S.A.0000-0002-7363-4050JohnHunterMackEnergy and Combustion Research Laboratory, University of Massachusetts Lowell, Lowell, MA 01854, U.S.A.0000-0002-5455-861110.21105/joss.01420https://doi.org/10.5281/zenodo.3256403Pythonhttps://joss.theoj.org/papers/10.21105/joss.01420.pdfartificial bee colony, hyperparameter optimization, machine learning, artificial neural networkstag:joss.theoj.org,2005:Paper/2722017-09-21T00:00:00Z2021-02-15T11:33:55ZECNet: Large scale machine learning projects for fuel property predictionacceptedv1.2.4.dev12017-09-04 22:40:24 UTC172017-09-21 00:00:00 UTC22017401TravisKesslerUMass Lowell Energy and Combustion Research Laboratory0000-0002-7363-4050JohnHunterMackUMass Lowell Energy and Combustion Research Laboratory10.21105/joss.00401https://doi.org/10.5281/zenodo.910866Pythonhttps://joss.theoj.org/papers/10.21105/joss.00401.pdfmachine learning, artificial neural networks, fuel property prediction, cetane number, QSPR