Extreme Learning Machines 2013: Algorithms and Applications - Adaptation, Learning, and Optimization - Fuchen Sun - Grāmatas - Springer International Publishing AG - 9783319047409 - 2014. gada 24. marts
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Extreme Learning Machines 2013: Algorithms and Applications - Adaptation, Learning, and Optimization

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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.


Marc Notes: Selected conference papers.; Includes bibliographical references.; 8; This title contains selected papers from the International Conference on Extreme Learning Machine 2013, which was held in Beijing, China.. Table of Contents: Freshwater Algal Bloom Prediction by Extreme Learning Machine in Macau Storage Reservoirs.- A Novel Scene Based Robust Video Watermarking Scheme in DWT Domain Using Extreme Learning Machine.- Stochastic Sensitivity Analysis using Extreme Learning Machine. Jacket Description/Back: 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. "

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2014. gada 24. marts
ISBN13 9783319047409
Izdevēji Springer International Publishing AG
Žanrs Aspects (Academic) > Science / Technology Aspects
Lapas 225
Izmēri 155 × 235 × 14 mm   ·   503 g
Valoda Vācu  
Redaktors Mao, Kezhi
Redaktors Romay, Manuel Grana
Redaktors Sun, Fuchen
Redaktors Toh, Kar-Ann

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