A comparison of the backpropagation and recursive prediction error algorithms for training neural networks-Reference-Cited by-同舟云学术

A comparison of the backpropagation and recursive prediction error algorithms for training neural networks

Published:1991-05 Issue:3 Volume:5 Page:233-255
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Billings S.A.,Jamaluddin H.B.,Chen S.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference24 articles.

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2. White Noise Analysis of Physiological Systems;Marmarelis,1978

3. Input-output parametric models for non-linear systems, Part I: Deterministic non-linear systems;Leontaritis;International Journal of Control,1985

4. Input-output parametric models for non-linear systems, Part II: Stochastic non-linear systems;Leontaritis;International Journal of Control,1985

5. Nonlinear signal processing using neural networks: prediction and system modelling;Lapedes;Preprint LA-UR-87-2662,1987

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