Proceedings of ELM 2017

However, it is difficult that ELM deal with multi-feature data directly, because each feature of multi-feature data has a specific statistical property. Therefore, we proposed a robust multi-feature model based on ELM, namely, ...

Proceedings of ELM 2017

This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4–7, 2017. The book covers theories, algorithms and applications of ELM. Extreme Learning Machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. It gives readers a glance of the most recent advances of ELM.

More Books:

Proceedings of ELM-2017
Language: en
Pages: 340
Authors: Jiuwen Cao, Chi Man Vong, Yoan Miche, Amaury Lendasse
Categories: Technology & Engineering
Type: BOOK - Published: 2018-10-16 - Publisher: Springer

This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4–7, 2017. The book covers theories, algorithms and applications of ELM. Extreme Learning Machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it
Proceedings of ELM 2018
Language: en
Pages: 347
Authors: Jiuwen Cao, Chi Man Vong, Yoan Miche, Amaury Lendasse
Categories: Technology & Engineering
Type: BOOK - Published: 2019-06-29 - Publisher: Springer

This book contains some selected papers from the International Conference on Extreme Learning Machine 2018, which was held in Singapore, November 21–23, 2018. This conference provided a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique
Proceedings of 2017 Chinese Intelligent Systems Conference
Language: en
Pages: 781
Authors: Yingmin Jia, Junping Du, Weicun Zhang
Categories: Technology & Engineering
Type: BOOK - Published: 2017-09-19 - Publisher: Springer

This book presents selected research papers from CISC’17, held in MudanJiang, China. The topics covered include Multi-agent system, Evolutionary Computation, Artificial Intelligence, Complex systems, Computation intelligence and soft computing, Intelligent control, Advanced control technology, Robotics and applications, Intelligent information processing, Iterative learning control, Machine Learning, and etc. Engineers and researchers
Proceedings of ICETIT 2019
Language: en
Pages: 1144
Authors: Pradeep Kumar Singh, Bijaya Ketan Panigrahi, Nagender Kumar Suryadevara, Sudhir Kumar Sharma, Amit Prakash Singh
Categories: Computers
Type: BOOK - Published: 2019-09-23 - Publisher: Springer Nature

This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019. This conference
Invasive Species in Forests and Rangelands of the United States
Language: en
Pages: 455
Authors: Therese M. Poland, Toral Patel-Weynand, Deborah M. Finch, Chelcy Ford Miniat, Deborah C. Hayes, Vanessa M. Lopez
Categories: Science
Type: BOOK - Published: 2021-02-01 - Publisher: Springer Nature

This open access book describes the serious threat of invasive species to native ecosystems. Invasive species have caused and will continue to cause enormous ecological and economic damage with ever increasing world trade. This multi-disciplinary book, written by over 100 national experts, presents the latest research on a wide range