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  • Search: subject:"Extreme learning machines"
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Year of publication
Subject
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Extreme learning machines 3 Artificial intelligence 1 Artificial neural networks 1 Coral Reefs Optimization 1 Demand 1 Feature selection 1 Forecast 1 Forecasting 1 Forecasting model 1 Harmony Search 1 Intermittent demand 1 Künstliche Intelligenz 1 Nachfrage 1 Neural networks 1 Neuronale Netze 1 Prognose 1 Prognoseverfahren 1 Short term wind speed prediction 1 Theorie 1 Theory 1 Wald test 1 asymptotic distribution 1 neglected nonlinearity 1 single layer feedforward network 1
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Online availability
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Undetermined 2
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Balugani, E. 1 CHO, JIN SEO 1 Del Ser, J. 1 Gamberini, R. 1 Gatos, T. 1 Geem, Z.W. 1 Gucci, S. 1 Lolli, Francesco 1 Pastor-Sánchez, A. 1 Prieto, L. 1 Regattieri, A. 1 SHIN, KYU LEE 1 Salcedo-Sanz, S. 1
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Institution
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Economic Research Institute, College of Business and Economics 1
Published in...
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International journal of production economics 1 Renewable Energy 1 Working papers / Economic Research Institute, College of Business and Economics 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
Did you mean: subject:"extreme learning machine" (45 results)
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Single-hidden layer neural networks for forecasting intermittent demand
Lolli, Francesco; Gamberini, R.; Regattieri, A.; … - In: International journal of production economics 183 (2017), pp. 116-128
Persistent link: https://www.econbiz.de/10011640985
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A Coral Reefs Optimization algorithm with Harmony Search operators for accurate wind speed prediction
Salcedo-Sanz, S.; Pastor-Sánchez, A.; Del Ser, J.; … - In: Renewable Energy 75 (2015) C, pp. 93-101
This paper introduces a new hybrid bio-inspired solver which combines elements from the recently proposed Coral Reefs Optimization (CRO) algorithm with operators from the Harmony Search (HS) approach, which gives rise to the coined CRO-HS optimization technique. Specifically, this novel...
Persistent link: https://www.econbiz.de/10011116498
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Testing for Neglected Nonlinearity Using Extreme Learning Machines (published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21, Suppl. 2 (2013),...
SHIN, KYU LEE; CHO, JIN SEO - Economic Research Institute, College of Business and … - 2013
In this study, we introduce statistics for testing neglected nonlinearity using the extreme leaning machines introduced by Huang, Zhu, and Siew (2006, Neurocomputing) and call them ELMNN tests. The ELMNN tests are very convenient and can be widely applied because they are obtained as byproducts...
Persistent link: https://www.econbiz.de/10011191573
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