Published June 12, 2018
| Version v1
Dataset
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Regression Model to Predict the Higher Heating Value of Poultry Waste from Proximate Analysis.
- 1. Industrial and Systems Engineering Department, Morgan State University, 1700 East Cold Spring Lane, Baltimore, MD 21251, USA
- 2. Department of Chemistry, Towson University, 8000 York Road, Towson, MD 21252, USA
Description
The response variable is High Heating Values (HHV), while the independent variables are Fixed Carbon (FC), Volatile Matter (VM), and Ash (A).
Files
hhv data.txt
Files
(990 Bytes)
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md5:6bea35441e6110517e672cfda71e68c1
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