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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2130, Issue , 2001, Pages 583-592

Faster convergence and improved performance in least-squares training of neural networks for active sound cancellation

(1) Bouchard, Martin a

a UNIVERSITY OF OTTAWA (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS;

FASTER CONVERGENCE; IMPROVED CONVERGENCE; LEAST SQUARE; MULTICHANNEL; MULTILAYER FEEDFORWARD NEURAL NETWORKS; NEURAL NETWORKS STRUCTURE; RECURSIVE LEAST SQUARES ALGORITHMS; STEADY STATE PERFORMANCE;

FEEDFORWARD NEURAL NETWORKS;

EID: 84958982169 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/3-540-44668-0_82 Document Type: Conference Paper

Times cited : (2)

References (8)

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2
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- Bouchard M., Paillard, B., Le Dinh, C.T.: Improved Training of Neural Networks for Non-Linear Active Control of Noise and Vibration. IEEE Trans. on Neural Networks. 10 (1999) 391-401
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- Bouchard, M.¹ Paillard, B.² Le Dinh, C.T.³

3
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- Prentice-Hall, Upper Saddle River
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4
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- Adjoint-LMS: An Efficient Alternative to the Filtered-X LMS and Multiple Error LMS algorithms
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- (1996) Proc. Int. Conf. Acoust. Speech and Signal Process , vol.3 , pp. 1842-1845
- Wan, E.A.¹

5
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- 3rd edn. Prentice Hall, Englewood Cliffs (NJ
- Haykin, S.: Adaptive filter theory. 3rd edn. Prentice Hall, Englewood Cliffs (NJ) (1996)
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- Haykin, S.¹

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- Optimal Filtering Algorithms for Fast Learning in Feedforward Neural Networks
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- Shah, S.¹ Palmieri, F.² Datum, M.³

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- Singhal, S.¹ Wu, L.²

8
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- New Recursive-Least-Squares Algorithms for Nonlinear Active Control of Sound and Vibration using Neural Networks
- Bouchard, M.: New Recursive-Least-Squares Algorithms for Nonlinear Active Control of Sound and Vibration using Neural Networks. IEEE Trans. on Neural Networks. 12 (2001) 135-147
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.