Proceedings Of Elm 2021
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| Author | : Kaj-Mikael Björk |
| Publisher | : Springer Nature |
| Total Pages | : 179 |
| Release | : 2023-01-18 |
| Genre | : Technology & Engineering |
| ISBN | : 3031216784 |
This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15–16, 2021. 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 provides 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. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.
| Author | : Kaj-Mikael Björk |
| Publisher | : Springer Nature |
| Total Pages | : 86 |
| Release | : |
| Genre | : |
| ISBN | : 3031550560 |
| Author | : Jiuwen Cao |
| Publisher | : Springer Nature |
| Total Pages | : 189 |
| Release | : 2020-09-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3030589897 |
This book contains some selected papers from the International Conference on Extreme Learning Machine 2019, which was held in Yangzhou, China, December 14–16, 2019. Extreme Learning Machines (ELMs) aim 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 ELM2019 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning. This conference provides 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. This book covers theories, algorithms and applications of ELM. It gives readers a glance of the most recent advances of ELM.
| Author | : Yingmin Jia |
| Publisher | : Springer Nature |
| Total Pages | : 866 |
| Release | : 2021-10-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9811663203 |
This book presents the proceedings of the 17th Chinese Intelligent Systems Conference, held in Fuzhou, China, on Oct 16-17, 2021. It focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth study on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. The book is particularly suited for readers who are interested in learning intelligent system and control and artificial intelligence. The book can benefit researchers, engineers, and graduate students.
| Author | : Ignacio Rojas |
| Publisher | : Springer Nature |
| Total Pages | : 680 |
| Release | : 2023-11-01 |
| Genre | : Science |
| ISBN | : 3031430786 |
This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.
| Author | : Janianton Damanik |
| Publisher | : Springer Nature |
| Total Pages | : 532 |
| Release | : 2023-02-10 |
| Genre | : Business & Economics |
| ISBN | : 2494069734 |
This is an open access book. This international conference aims to discuss and provide critical views based on empirical experience and the relevant concepts to the changing trends and future directions of tourism development after the Covid-19 pandemic. Some of the topics that can be raised as discussion material include (but are not limited to): Adaptation strategies of tourism transportation modes to the CHSE standard Adaptation strategies and models of the tourism accommodation industry to the CHSE standard Creative Industry and tourism MSME business models in the post-pandemic period Reactivation and revitalization of community-based tourism businesses Optimizing the use of IT products in tourism business management Innovation and implementation of carbon neutral and green zones in tourism destinations Trends in travel financing planning changes Issues of de-skilling, recharging, and up-skilling tourism HR The future of tourism education institutions Reconstruction of tourism institutions in the post-pandemic period Relations between tourists and tourists in tourism destinations in the post-pandemic period Changes in tourist market profiles and preferences and their implications for promotion and marketing strategies Tourist perspectives on post-pandemic tourism and CHSE practices Trends and prospects for healthy tourism and green tourism This is an open access book. This is an open access book.
| Author | : E. S. Gopi |
| Publisher | : Springer Nature |
| Total Pages | : 630 |
| Release | : |
| Genre | : |
| ISBN | : 3031479424 |
| Author | : Buffalo (N.Y.). Common Council |
| Publisher | : |
| Total Pages | : 1666 |
| Release | : 1885 |
| Genre | : |
| ISBN | : |
| Author | : Zainah Md. Zain |
| Publisher | : Springer Nature |
| Total Pages | : 637 |
| Release | : |
| Genre | : |
| ISBN | : 9819738474 |
| Author | : Dhananjay Kumar |
| Publisher | : Springer Nature |
| Total Pages | : 1409 |
| Release | : 2023-09-01 |
| Genre | : Education |
| ISBN | : 9464632305 |
This is an open access book. The 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) was held on April 28–30, 2023 at the Xiamen, China. With the development of science and technology, information technology and information resources should be actively developed and fully applied in all fields of education and teaching, so as to promote the modernization of education and cultivate talents to meet the needs of society. From the technical point of view, the basic characteristics of educational informatization are digitalization, networking, intelligentization and multi-media. From the perspective of education, the basic characteristics of educational information are openness, sharing, interaction and cooperation. With the advantage of the network, it can provide students with a large amount of information and knowledge by combining different knowledge and information from various aspects in a high frequency. Therefore, we have intensified efforts to reform the traditional teaching methods and set up a new teaching concept, from the interaction between teachers and students in the past to the sharing between students. In short, it forms a sharing learning mode. For all students, strive to achieve students' learning independence, initiative and creativity. To sum up, we will provide a quick exchange platform between education and information technology, so that more scholars in related fields can share and exchange new ideas. The 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) was held on April 28-30, 2023 in Xiamen, China. IEIT 2023 is to bring together innovative academics and industrial experts in the field of Internet, Education and Information Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in Internet, Education and Information Technology and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Internet, Education and Information Technology and related areas.
