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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Technik Allg. & Lexika Proceedings of ELM 2021
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Beschreibung
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 dataand 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. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
19.01.2023
Sprache
Englisch
EAN
9783031216770
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Proceedings in Adaptation, Learning and Optimization
Sonderedition
Nein
Seitenanzahl
172
Einbandart
Gebundene Ausgabe
Buch Untertitel
Theory, Algorithms and Applications
Schlagwörter
Intelligent Systems, Extreme Learning Machine, ELM 2021, The International Conference on Extreme Learning Machines, Robustness and Stability Analysis, Real-time Learning/Reasoning, Clustering and Feature Extraction/Selection, Multi Hidden Layers Solutions and Random Networks, Parallel and Distributed Computing / Cloud Computing, Time Series Predictions, Pattern Recognition, Data Analytics, Super/Ultra-large Scale Data Processing
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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