Noise-tolerant neural networks for pattern classification and function extrapolation

Noise-tolerant neural networks for pattern classification and function extrapolation

To study and improve the effectiveness and potential of neural networks in pattern classification and function extrapolation under noise environment, we propose two noise reduction algorithms based on training samples to enhance the capability of neural networks in noise environment and construct a...

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Bibliographic Details
Main Author: Gui, Minghui.
Other Authors: Chen, Yan Qiu
Format: Thesis
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/4895

Internet

http://hdl.handle.net/10356/4895

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