This book introduces the newly developed Extreme Learning Machine (ELM) including its theories and learning algorithms. ELM is a unified framework of broadtype of generalized single-hidden layer feedforward networks. Unlike traditional popular learning methods, ELM requires less human interventions and can run thousands times faster than those conventional methods. ELM automatically determines all the network parameters analytically, which avoids trivial human intervention and makes it efficient in online and real-time applications. Source codes for implementing ELM applications in MATLAB will be included for readers to quickly apply the technique. It is suitable as a project-oriented coursework text for graduate students as well as for researchers or system developers to quickly deploy ELM in actual problem-solving. Provides a comprehensive coverage of the Extreme Learning Machine (ELM) Includes derivations and proofs of the theorems and its universal approximation properties
- ISBN: 978-3-540-88817-8
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 200
- Fecha Publicación: 01/04/2009
- Nº Volúmenes: 1
- Idioma: Inglés