Springer - Proceedings of ELM 2018 (Proceedings in Adaptation, Learning and Optimization (11), Band 11) epub indir internet üzerinden

indir Proceedings of ELM 2018 (Proceedings in Adaptation, Learning and Optimization (11), Band 11)
Proceedings of ELM 2018 (Proceedings in Adaptation, Learning and Optimization (11), Band 11)

Proceedings of ELM 2018 (Proceedings in Adaptation, Learning and Optimization (11), Band 11) adlı kitabı telefonunuzda, bilgisayarınızda veya tabletinizde EPUB biçiminde okumak için "okuyucu" uygulamasını ücretsiz veya satın almanız gerekir - siz karar verin. İşlevsel olarak özgür "okuyucular" nadiren ücretli olanlara yol verir ve bazen onları aşar. Bazen daha yavaş çalışır veya reklam içerir. Ücretli uygulamalar daha güzel görünür, daha az yavaşlar, aynı işlevsellik ile telefonun belleğinde genellikle daha az yer kaplarlar. Veya Springer adresinden çevrimiçi olarak Proceedings of ELM 2018 (Proceedings in Adaptation, Learning and Optimization (11), Band 11) kitap okumak için bir site bulabilirsiniz. EPUB, kayan bir düzene sahip bir biçimdir, yani kitabın metni, örneğin Proceedings of ELM 2018 (Proceedings in Adaptation, Learning and Optimization (11), Band 11), akıllı telefonunuzun veya tabletinizin ekran boyutuna otomatik olarak ayarlanır - manuel olarak ölçeklendirmeniz gerekmez. Son aşamada, biçim bilgisayarlar, akıllı telefonlar ve tabletler tarafından desteklenen 5.2 sürümüne güncellenir. Gutenberg Serbest Kütüphanesi, 2008 yılında Proceedings of ELM 2018 (Proceedings in Adaptation, Learning and Optimization (11), Band 11) gibi kitapları ve diğer basılı yayınları ve kitapları dijitalleştirmek ve saklamak için bu biçimi seçti. Yavaş yavaş, 2010'a kadar, daha önce kendi LRF uzantısını (BBeB) kullanan Sony, belgeleri bu biçime dönüştürdü. E-kitapların ve "okuyucuların" artan popülaritesi ile birlikte popülerlik kazanıyor. İlk kez 1999'da ABD'de ortaya çıktı, farklı olarak adlandırıldı - Açık eKitap Yayını (OEB). Geliştirici - Uluslararası Dijital Yayıncılık Forumu, IDPF kısaltması: Uluslararası Dijital Yayıncılık Forumu. 2007 yılında, “forum”, doğrudan “Elektronik Yayıncılık” olan ve tam anlamıyla “Elektronik Yayıncılık” olarak kısaltılan geliştirmenin son versiyonunu tanıttı.

Biçimi seçin
pdf ibook fb2
Yazar
Yayın Evi
Additional Contributors İspanyolca HACHETTE LIVRE-BNF Independently published Almanca LAP LAMBERT Academic Publishing ERWIN N GRISWOLD WADE H MCCREE Gale, U.S. Supreme Court Records MDPI AG Book on Demand Ltd. İngilizce Fransızca Kolektif ROBERT H BORK Springer Rusça Türkçe
indir okumak internet üzerinden
Yazar Springer
İsbn 10 303023309X
İsbn 13 978-3030233099
Yayın Evi Springer
Boyutlar ve boyutlar 15.6 x 1.88 x 23.39 cm
tarafından gönderildi Proceedings of ELM 2018 (Proceedings in Adaptation, Learning and Optimization (11), Band 11) 15 Ağustos 2020

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.  

indir okumak internet üzerinden

Son kitaplar

İlgili kitaplar
Women in Microelectronics (Women in Engineering and Science)

indir bedava
Context, Conflict and Reasoning: Proceedings of the Fifth Asian Workshop on Philosophical Logic (Logic in Asia: Studia Logica Library)

indir bedava
Black Holes, Gravitational Radiation and the Universe: Essays In Honor Of C.V. Vishveshwara (Fundamental Theories Of Physics) (Fundamental Theories of Physics (100), Band 100)

indir bedava
S Sulfur-Nitrogen Compounds: Part 3 Compounds with Sulfur of Oxidation Number IV (Gmelin Handbook of Inorganic and Organometallic Chemistry - 8th edition (S / S-N / 3)): Element S

indir bedava
Amination and Formation of sp2 C-N Bonds (Topics in Organometallic Chemistry)

indir bedava
Legume Nitrogen Fixation in Soils with Low Phosphorus Availability: Adaptation and Regulatory Implication

indir bedava