Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications

ISBN-13: 9780443152849 / Angielski

Fac Department of Civil Engineering Joseph D. (PhD Student

Spis treści

1. Dataset Preparation 2. Pre-processing approaches 3. Post-processing approaches 4. Non-tuned single-layer feed-forward neural network Learning Machine - Concept 5. Non-tuned single-layer feed-forward neural network Learning Machine - Coding and implementation 6. Outlier-based models of the non-tuned neural network - Concept 7. Outlier-based models of the non-tuned neural network - Coding and implementation 8. Online Sequential non-tuned neural network - Concept 9. Online Sequential non-tuned neural network - Coding and implementation 10. Self-Adaptive Evolutionary of non-tuned neural network - Concept 11. Self-Adaptive Evolutionary of non-tuned neural network - Coding and implementation