| Issue |
MATEC Web Conf.
Volume 128, 2017
2017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 3 | |
| Section | Simulation Model and Algorithm | |
| DOI | https://doi.org/10.1051/matecconf/201712802010 | |
| Published online | 25 October 2017 | |
Research on Pepper Disease Diagnosis Model Based on Genetic Neural network
1 institute of Agricultural Information and Economics. Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
2 Beijing Research Center of Engineering Technology on Rural Distance Information Service, Beijing, China
To explore the effective method of the pepper diseases, using the method of combining the genetic algorithm and BP neural network, the establish neural network diagnostic model for pepper diseases is established to improve the model convergence rate and accuracy. The experimental results show that the model is convergent effectively and the diagnostic accuracy is improved by 12%.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.