SCOPUS 정보 검색 플랫폼

Volumn 4491 LNCS, Issue PART 1, 2007, Pages 1069-1076

Ensembling extreme learning machines

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; PROBLEM SOLVING;

EXTREME LEARNING MACHINE (ELM);

LEARNING SYSTEMS;

EID: 37249004733 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/978-3-540-72383-7_125 Document Type: Conference Paper

Times cited : (10)

References (9)

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- Neural Network Ensembles, Cross Validation, and Active Learning
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- Ensemble Learning via Negative Correlation
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- Ensembling Neural Networks: Many Could be Better Than All
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- Zhou, Z.H.¹ Wu, J.² Tang, W.³

5
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- Extreme Learning Machine: A New Learning Scheme of Feedforward Neural Networks
- Huang, G.B., Zhu, Q.Y., Siew, C.K.: Extreme Learning Machine: A New Learning Scheme of Feedforward Neural Networks. In: Proceedings 2004 International Joint Conference on Neural Networks 2 (2004) 985-990
- (2004) Proceedings 2004 International Joint Conference on Neural Networks , vol.2 , pp. 985-990
- Huang, G.B.¹ Zhu, Q.Y.² Siew, C.K.³

6
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- Can Threshold Networks Be Trained Directly?
- Huang, G.B., Zhu, Q.Y., Siew, C.K.: Saratchandran P., Sundararajan N.: Can Threshold Networks Be Trained Directly? IEEE Trans. Circuits and Systems II 53 (2006) 187-191
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- Huang, G.B.¹ Zhu, Q.Y.² Siew, C.K.³ Saratchandran, P.⁴ Sundararajan, N.⁵

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- Extreme Learning Machine: Theory and Applications
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- Huang, G.B.¹ Zhu, Q.Y.² Siew, C.K.³

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- Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes
- Huang, G.B., Chen, L., Siew, C.K.: Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes. IEEE Trans. Neural Networks 17 (2006) 879-892
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- Huang, G.B.¹ Chen, L.² Siew, C.K.³

9
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- Real-Time Learning Capability of Neural Networks
- Huang, G.B., Chen, L., Siew, C.K.: Real-Time Learning Capability of Neural Networks. IEEE Trans. Neural Networks 17 (2006) 863-878
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.