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Can I read Extreme Learning Machines 2013: Algorithms and Applications (Adaptation, Learning, and Optimization Book 16) on EtoBox?

Extreme Learning Machines 2013: Algorithms and Applications (Adaptation, Learning, and Optimization Book 16) by Mao, Kezhi;Romay, Manuel Grana;Sun, Fuchen;Toh, Kar-Ann is a nonfiction available to read on EtoBox.

What is Extreme Learning Machines 2013: Algorithms and Applications (Adaptation, Learning, and Optimization Book 16) about?

In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outstanding merits of extreme learning machine (ELM) are its fast learning speed, trivial human intervene and high scalability.   This book contains some selected papers from the International Conference on Extreme Learning Machine 2013, which was held in Beijing China, October 15-17, 2013. This conference aims to bring together the researchers and practitioners of extreme learning machine from a variety of fields including artificial intelligence, biomedical engineering and bioinformatics, system modelling and control, and signal and image processing, to promote research and discussions of "learning without iterative tuning". This book covers algorithms and applications of ELM. It gives readers a glance of the newest developments of ELM.

Who reads Extreme Learning Machines 2013: Algorithms and Applications (Adaptation, Learning, and Optimization Book 16)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Mao, Kezhi;Romay, Manuel Grana;Sun, Fuchen;Toh, Kar-Ann
Publisher
Imprint, Springer, Springer International Publishing
Published
2014
Language
EN
ISBN
9783319047416
Category
nonfiction
Subjects
Engineering, Computer Science, Science

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