TradServ Index du Forum

TradServ
Serveur Minecraft

 FAQFAQ   RechercherRechercher   MembresMembres   GroupesGroupes   S’enregistrerS’enregistrer 
 ProfilProfil   Se connecter pour vérifier ses messages privésSe connecter pour vérifier ses messages privés   ConnexionConnexion 

ProceedingsofELM201628ProceedingsinAdaptation2CLearningan

 
Poster un nouveau sujet   Répondre au sujet    TradServ Index du Forum -> Recrutement[Admin,Newser...] -> Admin
Sujet précédent :: Sujet suivant  
Auteur Message
itzagil
Visiteur

Hors ligne

Inscrit le: 31 Mar 2016
Messages: 128
Localisation: Toulouse
Masculin
Point(s): 128
Moyenne de points: 1,00

MessagePosté le: Ven 7 Juil - 15:49 (2017)    Sujet du message: ProceedingsofELM201628ProceedingsinAdaptation2CLearningan Répondre en citant


Proceedings of ELM-2016 (Proceedings in Adaptation, Learning and Optimization)
by Jiuwen Cao



->>>DOWNLOAD BOOK Proceedings of ELM-2016 (Proceedings in Adaptation, Learning and Optimization)



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. 







Proceedings of ELM-2016 (Proceedings in Adaptation, Learning and Optimization) Jiuwen Cao
Proceedings of ELM-2016 (Proceedings in Adaptation, Learning and Optimization) read thepiratebay eReader sale book Proceedings of ELM-2016 (Proceedings in Adaptation, Learning and Optimization) kickass book download





07f867cfac



The Chicken Equation: A business woman's guide to creating a better social footprintPaleo Slow Cooker: Delicious Low Carb Paleo Slow Cooker Recipes To Hit Low Carb Paleo Diet GoalsResidential Lease Agreement - Legally Binding: Real Estate Forms BookJUMPSTART: Atteignez vos objectifs (French Edition)Business+Check+Register+BookHow to earn money with Uber: Introduction to ride-sharingWork Tracking Tool: Large 8.5 Inches By 11 Inches Log Book To Track Time Activity Project or Task or Job IDTOP Diets Box Set. 2nd version: (4 In 1) Collection Of The Best Diets For Your Health with Meal Plans and Amazingly Easy RecipesBirthBook Yin-Yang, Blank Book, Standard Diary, Notebook, Book, Black White Cover, Full-Page Stubs, Blank or Printed Forms, Index Tabs, 90 Pages, 6" x ... notebook can also be used as a blank jouGastric Sleeve Cookbook: FLUID and PUREE - 30+ SHAKES, DRINKS, BROTH AND PUREE recipes for early stages of post-weight loss surgery diet (Effortless Bariatric Cookbook Series) (Volume 1)


Revenir en haut
Publicité






MessagePosté le: Ven 7 Juil - 15:49 (2017)    Sujet du message: Publicité

PublicitéSupprimer les publicités ?
Revenir en haut
Montrer les messages depuis:   
Poster un nouveau sujet   Répondre au sujet    TradServ Index du Forum -> Recrutement[Admin,Newser...] -> Admin Toutes les heures sont au format GMT + 2 Heures
Page 1 sur 1

 
Sauter vers:  

Index | Panneau d’administration | creer un forum | Forum gratuit d’entraide | Annuaire des forums gratuits | Signaler une violation | Conditions générales d'utilisation
Powered by phpBB © 2001, 2005 phpBB Group
Traduction par : phpBB-fr.com