A Comparison Between Stacked Auto-Encoder and Deep Belief Network in River Run-Off Prediction
Bibliographic Data
| ID | 23580488 |
|---|---|
| Authors | Bui Tan Kinh (Ho Chi Minh City University of Technology, corresponding author), Duong Tuan Anh (0000-0003-3340-7117, Ho Chi Minh City University of Technology), Duong Ngoc Hieu (Ho Chi Minh City University of Technology) |
| Year | 2021 |
| Pages | 65-81 |
| Publication date | 2021-01-01 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Context-Aware Systems and Applications, and Nature of Computation and Communication (SOURCE_BOOK) |
| Publisher | Springer International Publishing (PUBLISHER • SG) |
| DOI | 10.1007/978-3-030-67101-3_6 |
| OpenAlex | W3119961866 |
| ISBN | 9783030671013 |
| Language | EN |
| References cited | 15 |
Artificial neural network · Autoencoder · Data mining · Deep belief network · Deep learning · Machine learning · Mean absolute error · Mean squared error · Statistics · Surface runoff · Artificial Intelligence · Computer Science · Flood Risk Assessment and Management · Hydrological Forecasting Using AI · Hydrology and Watershed Management Studies · Mathematics
| Highly cited | No |
|---|