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On stable learning of block-diagonal recurrent neural networks, part 2: application to the analysis of lung sounds

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2 Author(s)
Mastorocostas, P.A. ; Dept. of Inf. & Commun., Technol. & Educ. Inst. of Serres, Greece ; Theocharis, J.B.

For pt.1, see ibid., vol. no.2, p815-20 (2004). A recurrent neural filter for the separation of discontinuous adventitious sounds from vesicular sounds is presented. The filter uses two block-diagonal recurrent neural networks to perform the task of separation and is trained by the RENNCOM training algorithm. Extensive experimental results are given and performance comparisons with a series of other models are conducted, underlining the effectiveness of the proposed filter.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:2 )

Date of Conference:

25-29 July 2004