Universal Approximation and QoS Violation Application of Extreme Learning Machine
Neural networks have been successfully applied to many applications due to their approximation capability. However, complicated network structures and algorithms will lead to computational and time-consuming burdens. In order to satisfy demanding real-time requirements, many fast learning algorithms...
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Veröffentlicht in: | Neural processing letters 2008-10, Vol.28 (2), p.81-95 |
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Sprache: | eng |
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