Based on the Efficiency Coefficient-BP Neural Network Study of the Risk of Early Warning

Yonghong TAO, Ailin QI

Abstract


We all expect that we can predict the risk before it appears, the risk of early-warning has become a research hotspot in many fields, so does the economy of risk early-warning. In recent years, using Artificial Neural Network to solve the risk of early warning problem has been developed, but the risk of early warning process often encounters such a problem: The risk assessment has no standard, meanwhile BP Neural Network is a kind of instructors train, and instructors come from the standard. This paper combines Efficacy Coefficient Method and BP Neural Network to achieve the purpose of early warning on the economy problem, it has remedies the limitation of risk of early warning by simply using BP neural network.
Key words: Risk Early Warning, Efficiency Coefficient Method, BP Neural Network

Keywords


Risk Early Warning, Efficiency Coefficient Method, BP Neural Network

Full Text:

HTML PDF


DOI: http://dx.doi.org/10.3968/j.mse.1913035X20090303.009

Refbacks

  • There are currently no refbacks.


Copyright (c)




Share us to:   


Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
[email protected]; [email protected]; [email protected]

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures