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  • Search: subject:"single layer feedforward network"
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Subject
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Extreme learning machines 1 Wald test 1 asymptotic distribution 1 neglected nonlinearity 1 single layer feedforward network 1
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Book / Working Paper 1
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Undetermined 1
Author
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CHO, JIN SEO 1 SHIN, KYU LEE 1
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Economic Research Institute, College of Business and Economics 1
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Working papers / Economic Research Institute, College of Business and Economics 1
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RePEc 1
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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), 117--129.)
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...
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