NDLI: Harnessing Non-linearity by Sigmoid-wavelet Hybrid Echo State Networks (SWHESN)

Content Provider	IEEE Xplore Digital Library
Author	Se Wang Xiao-jian Yang Cheng-jian Wei
Copyright Year	2006
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Nanjing Univ. of Technol. (Se Wang; Xiao-jian Yang; Cheng-jian Wei)
Abstract	We propose one efficient method to improve the performance of echo state network (ESN) when as chaotic predictor. ESN is one special recurrent neural network (RNN) with great nonlinear dynamic feature and facile training process, outperforms the previously best techniques applied on chaotic prediction by a factor of 700. In order to expand internal spatial spectrum of this ESN, this method transformed the original ESN into SWHESN (sigmoid-wavelet hybrid ESN) and amplifies the memory capacity (MC) of ESN meanwhile retaining its nonlinear feature via injecting some tuned wavelet neurons (wavelons). Experimental result shows SWHESNs possess more robust exploitation period and more stable running situation, with less computing consumption, compared with the original ESN. Using the same data set, SWHESN can predict 46% further than the ESN without typical deviation, but only utilizes 30% of time of what ESN uses
Starting Page	3014
Ending Page	3018
File Size	156581
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712919
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Neurons Sparse matrices Recurrent neural networks Signal processing Transfer functions Artificial neural networks Neural networks Wavelet analysis Educational institutions wavelet neural network Sigmoid-wavelet echo state network echo state network chaotic prediction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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