Paper Titles

A Maneuvering Target Tracking Algorithm Based on Gaussian Filter for Multiple Passive Sensors
p.447

Technical Efficiency Evaluation of Grid Corporations Based on the DEA Model
p.453

Maintenance Simulation and Maintainability Design Based on Virtual Reality
p.457

A Study on the X-Ray Image Quality Evaluation Method Based on Weighted Local Entropy
p.462

Integrated Input Training Neural Network PCA and RBF for Chemical Process Modelling
p.469

The Price of Anarchy of Non-Uniform Altruism Traffic Assignment
p.475

A Hybrid Approach for Information Systems Security Risk Assessment under Uncertain Environment
p.481

An Improved Locally Linear Embedding Method for Feature Extraction
p.487

Micro-Simulation System on Passengers of the PDL Station Design
p.493

HomeKey Engineering MaterialsKey Engineering Materials Vols. 467-469Integrated Input Training Neural Network PCA and...

Integrated Input Training Neural Network PCA and RBF for Chemical Process Modelling

Article Preview

Abstract:

Paper removed at author request due to copyright issues.

You might also be interested in these eBooks

Materials, Mechatronics and Automation

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

469-474

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.467-469.469

Citation:

Cite this paper

Online since:

February 2011

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation: