Novel Nueral Network Feature Selection Procedure by Generalization Maximization with Application to Automatic Robot Guidance-Reference-Cited by-同舟云学术

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Novel Nueral Network Feature Selection Procedure by Generalization Maximization with Application to Automatic Robot Guidance

Published:2002-01 Issue:2 Volume:4 Page:91-106
ISSN:1025-5818
Container-title:International Journal of Smart Engineering System Design
language:en
Short-container-title:International Journal of Smart Engineering System Design

Author:

Fiori Simone

Publisher

Informa UK Limited

Subject

Software

Link

http://www.tandfonline.com/doi/pdf/10.1080/10255810212402

Reference48 articles.

1. Image compression using principal component neural networks

2. A general class of /spl psi/#x03C8;-APEX PCA neural algorithms

3. A probabilistic model for appearance-based robot localization

4. Blind signal processing by the adaptive activation function neurons

5. Blind separation of circularly distributed sources by neural extended APEX algorithm

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1. Visualization of Riemannian-manifold-valued elements by multidimensional scaling;Neurocomputing;2011-02

2. PRUNING ARTIFICIAL NEURAL NETWORKS USING NEURAL COMPLEXITY MEASURES;International Journal of Neural Systems;2008-10

3. Multilayer perceptron neural networks to compute quasistatic parameters of asymmetric coplanar waveguides;Neurocomputing;2004-12

4. Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing;Neural Networks;2003-04

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