Sequential learning for extreme learning machine
| Autor: | Nanying Liang |
|---|---|
| Přispěvatelé: | Paramasivan Saratchandran, School of Electrical and Electronic Engineering |
| Rok vydání: | 2006 |
| Předmět: |
Hardware architecture
Social software engineering Requirements engineering Computer science business.industry Mechatronics Systems engineering Sequence learning Software system Software engineering business Electrical engineering technology Extreme learning machine Engineering::Electrical and electronic engineering::Computer hardware software and systems [DRNTU] |
| Popis: | A novel sequential learning algorihtm for training Single Hidden Layer Feedforward Neural Network (SLFN), Online Sequential Extreme Learning Machine (OS-ELM) is proposed. OS-ELM is based on the combination of Extreme Learning Machine (ELM) and the recursive least-squares (RLS) algorithm. In the thesis, we explore the theory and the implementation of the proposed algorithm. Further the performance of the algorithm is evaluated on various application from the areas of regression, classification, and time seriese prediction. DOCTOR OF PHILOSOPHY (EEE) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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