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Design of Weight Matrices for Echo State Networks With Truncated Singular Values

2019 Chinese Automation Congress (CAC), 2019
As a special recurrent neural network, Echo State Network (ESN) has succeed best in the field of nonlinear time series prediction. The key part of ESN is a sparsely and randomly connected recurrent layer (reservoir) which leads to a large and sparse random weight matrix.
Li Fanjun   +4 more
openaire   +1 more source

Fast Hartley transform and truncated singular value algorithm for circular deconvolution

Optical Engineering, 1997
The fast Hartley transform (FHT) algorithm for solving wellconditioned circular deconvolution is suggested. The arithmetic operations save about half compared to the fast Fourier transform (FFT) deconvolution algorithm. The Moore-Penrose generalized inverse of the circulant matrix connection to FHT matrices is investigated, then the least-squares ...
openaire   +1 more source

Velocity analysis by truncated singular value decomposition

SEG Technical Program Expanded Abstracts 1993, 1993
Spagnolini, Umberto   +2 more
openaire   +1 more source

Modified truncated singular value decomposition method for moving force identification

Advances in Structural Engineering, 2022
Zhen Chen, Xuan Kong
exaly  

Aeromagnetic Compensation Using an Improved Truncated Singular Value Decomposition Method

2023 6th International Conference on Information Communication and Signal Processing (ICICSP), 2023
Wenhua Song   +3 more
openaire   +1 more source

Toward efficacy of piecewise polynomial truncated singular value decomposition algorithm in moving force identification

Advances in Structural Engineering, 2019
Zhen Chen, Shunbo Zhao, Tommy H T Chan
exaly  

Enhanced Multi-View Anomaly Detection on Attribute Networks by Truncated Singular Value Decomposition

International Journal of Machine Learning and Cybernetics, 2023
Baozhen Lee   +3 more
openaire   +1 more source

Application of truncated singular value decomposition to flight test data analysis

38th Aerospace Sciences Meeting and Exhibit, 2000
A. Randall, T.-M. Lee, R. Danaher
openaire   +1 more source

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