Back Propagation Neural Network Implementation done for the Neuronal And Evolutionary Computing subject.
Prediction of the power of the turbine of a hydro-electrical plant, using the Back-Propagation (BP) algorithm, implemented by the student.
- File: turbine. txt
- Columns: 4 variables, 1 value to predict
- Variables: Height above sea level, Fall, Net fall, Flow
- Prediction: Power of the turbine
- Patterns: 451 patterns
- Training and Validation (and cross-validation): the first 401 patterns
- Test: the remaining 50 patterns
Copyright 2018 Francisco Javier Rodrigo Ginés
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
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