| Autor: |
Feng Wen Wen, Hong Chun Wang, Feng Song |
| Rok vydání: |
2013 |
| Předmět: |
|
| Zdroj: |
Advanced Materials Research. :489-492 |
| ISSN: |
1662-8985 |
| DOI: |
10.4028/www.scientific.net/amr.765-767.489 |
| Popis: |
in order to solve the problem which standard BP algorithm didnt have a good prediction accuracy for testing samples, a L-M Bayesian regularization algorithm was proposed by improved standard BP algorithm and applied to predict the resident consumption level of Cheng du. The experimental results show the L-M Bayesian regularization algorithm neural network has a higher accuracy, a more stable performance and a stronger generalization ability than another two improved algorithms in the same conditions and has a very good effect for the forecast of resident consumption level. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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