Proceedings Of Elm 2016
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Author |
: Jiuwen Cao |
Publisher |
: Springer |
Total Pages |
: 286 |
Release |
: 2017-05-25 |
ISBN-10 |
: 9783319574219 |
ISBN-13 |
: 3319574213 |
Rating |
: 4/5 (19 Downloads) |
Synopsis Proceedings of ELM-2016 by : Jiuwen Cao
This book contains some selected papers from the International Conference on Extreme Learning Machine 2016, which was held in Singapore, December 13-15, 2016. 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. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large‐scale computing and artificial intelligence. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.
Author |
: Jiuwen Cao |
Publisher |
: Springer |
Total Pages |
: 347 |
Release |
: 2018-10-16 |
ISBN-10 |
: 9783030015206 |
ISBN-13 |
: 3030015203 |
Rating |
: 4/5 (06 Downloads) |
Synopsis Proceedings of ELM-2017 by : Jiuwen Cao
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.
Author |
: Jiuwen Cao |
Publisher |
: Springer |
Total Pages |
: 356 |
Release |
: 2019-06-29 |
ISBN-10 |
: 9783030233075 |
ISBN-13 |
: 3030233073 |
Rating |
: 4/5 (75 Downloads) |
Synopsis Proceedings of ELM 2018 by : Jiuwen Cao
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 and brain learning. 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. The main theme of ELM2018 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning. This book covers theories, algorithms and applications of ELM. It gives readers a glance at the most recent advances of ELM.
Author |
: Jiuwen Cao |
Publisher |
: Springer |
Total Pages |
: 516 |
Release |
: 2015-12-31 |
ISBN-10 |
: 9783319283975 |
ISBN-13 |
: 3319283979 |
Rating |
: 4/5 (75 Downloads) |
Synopsis Proceedings of ELM-2015 Volume 1 by : Jiuwen Cao
This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.
Author |
: Yingmin Jia |
Publisher |
: Springer |
Total Pages |
: 625 |
Release |
: 2016-09-21 |
ISBN-10 |
: 9789811023385 |
ISBN-13 |
: 9811023387 |
Rating |
: 4/5 (85 Downloads) |
Synopsis Proceedings of 2016 Chinese Intelligent Systems Conference by : Yingmin Jia
These proceedings present selected research papers from CISC’16, held in Xiamen, China. The topics 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 from academia, industry, and government can get an insight view of the solutions combining ideas from multiple disciplines in the field of intelligent systems.
Author |
: Jiuwen Cao |
Publisher |
: Springer |
Total Pages |
: 507 |
Release |
: 2016-01-02 |
ISBN-10 |
: 9783319283739 |
ISBN-13 |
: 3319283731 |
Rating |
: 4/5 (39 Downloads) |
Synopsis Proceedings of ELM-2015 Volume 2 by : Jiuwen Cao
This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.
Author |
: Zhan Qu |
Publisher |
: Springer |
Total Pages |
: 1921 |
Release |
: 2018-07-11 |
ISBN-10 |
: 9789811075605 |
ISBN-13 |
: 9811075603 |
Rating |
: 4/5 (05 Downloads) |
Synopsis Proceedings of the International Field Exploration and Development Conference 2017 by : Zhan Qu
This book presents selected papers from the 7th International Field Exploration and Development Conference (IFEDC 2017), which focus on upstream technologies used in oil & gas development, the principles of the process, and various design technologies. The conference not only provides a platform for exchanging lessons learned, but also promotes the development of scientific research in oil & gas exploration and production. The book will benefit a broad readership, including industry experts, researchers, educators, senior engineers and managers.
Author |
: Krishan Kant Singh Mer |
Publisher |
: Springer Nature |
Total Pages |
: 975 |
Release |
: 2021-04-23 |
ISBN-10 |
: 9789813363076 |
ISBN-13 |
: 981336307X |
Rating |
: 4/5 (76 Downloads) |
Synopsis Proceedings of Integrated Intelligence Enable Networks and Computing by : Krishan Kant Singh Mer
This book presents best selected research papers presented at the First International Conference on Integrated Intelligence Enable Networks and Computing (IIENC 2020), held from May 25 to May 27, 2020, at the Institute of Technology, Gopeshwar, India (Government Institute of Uttarakhand Government and affiliated to Uttarakhand Technical University). The book includes papers in the field of intelligent computing. The book covers the areas of machine learning and robotics, signal processing and Internet of things, big data and renewable energy sources.
Author |
: Jinghan He |
Publisher |
: Springer Nature |
Total Pages |
: 1382 |
Release |
: 2022-04-22 |
ISBN-10 |
: 9789811915321 |
ISBN-13 |
: 9811915326 |
Rating |
: 4/5 (21 Downloads) |
Synopsis The proceedings of the 16th Annual Conference of China Electrotechnical Society by : Jinghan He
This book gathers outstanding papers presented at the 16th Annual Conference of China Electrotechnical Society, organized by China Electrotechnical Society (CES), held in Beijing, China, from September 24 to 26, 2021. It covers topics such as electrical technology, power systems, electromagnetic emission technology, and electrical equipment. It introduces the innovative solutions that combine ideas from multiple disciplines. The book is very much helpful and useful for the researchers, engineers, practitioners, research students, and interested readers.
Author |
: Ajith Abraham |
Publisher |
: Springer Nature |
Total Pages |
: 1440 |
Release |
: 2021-06-02 |
ISBN-10 |
: 9783030711870 |
ISBN-13 |
: 3030711870 |
Rating |
: 4/5 (70 Downloads) |
Synopsis Intelligent Systems Design and Applications by : Ajith Abraham
This book highlights recent research on intelligent systems and nature-inspired computing. It presents 130 selected papers from the 19th International Conference on Intelligent Systems Design and Applications (ISDA 2020), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.