منابع مشابه
Extreme learning machines: a survey
Computational intelligence techniques have been used in wide applications. Out of numerous computational intelligence techniques, neural networks and support vector machines (SVMs) have been playing the dominant roles. However, it is known that both neural networks and SVMs face some challenging issues such as: (1) slow learning speed, (2) trivial human intervene, and/or (3) poor computational ...
متن کاملOnline Extreme Evolutionary Learning Machines
Recently, the notion that the brain is fundamentally a prediction machine has gained traction within the cognitive science community. Consequently, the ability to learn accurate predictors from experience is crucial to creating intelligent robots. However, in order to make accurate predictions it is necessary to find appropriate data representations from which to learn. Finding such data repres...
متن کاملBinary/ternary extreme learning machines
In this paper, a new hidden layer construction method for Extreme Learning Machines (ELMs) is investigated, aimed at generating a diverse set of weights. The paper proposes two new ELM variants: Binary ELM, with a weight initialization scheme based on f0;1g–weights; and Ternary ELM, with a weight initialization scheme based on f 1;0;1g–weights. The motivation behind this approach is that these ...
متن کاملAdvances in Extreme Learning Machines
Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Mark van Heeswijk Name of the doctoral dissertation Advances in Extreme Learning Machines Publisher School of Science Unit Department of Information and Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 43/2015 Field of research Information and Computer Science Manuscript submitted 19 January 2...
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ژورنال
عنوان ژورنال: SN Computer Science
سال: 2020
ISSN: 2662-995X,2661-8907
DOI: 10.1007/s42979-020-00232-w