Dr. Zheng-zui Li Profile

Dr. Zheng-zui Li

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 22 July 2010 Paper

Sediment carrying capacity prediction based on chaos optimization support vector machines

Zheng-zui Li, Yue-bo Xie, Jun Zhang, Xiao-lu Li

Proceedings Volume 7749, 774916 (2010) https://doi.org/10.1117/12.869363

Read Abstract +

Correct calculation of sediment carrying capacity in natural rivers is of great significance to the simulation of sediment movement and river-bed deformation by mathematical model. Peak recognition support vector machines, an improved support vector machines, was proposed considering the complication and nonlinearity between sediment carrying capacity and its impact factors; peak recognition least square support vector machines sediment carrying capacity prediction model, which was based on chaos optimization, was built combining with accelerating chaos optimization against questions of support vector machines regression such as parameter optimization, training and test speed. The test data of 30 sets of water tanks with high, medium and low sediment concentrations were trained, and training values agreed well with measured values; four sets of test data were predicted by trained support vector machines model, and training values were pretty much the same with measured values. Theoretical analysis and experimental results show that sediment carrying capacity studying method based on peak recognition support vector machines is more accurate in predication and more reliable than common support vector machines and BP neural network.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years