Title :
Research on expert system of diseases and insects of jujube based on neural networks
Author :
Song Jianwei ; Wu Shuomei ; Ren Ji ; Yu Xiaohong
Author_Institution :
Dept. of Comput., Shijiazhuang Univ., Shijiazhuang, China
Abstract :
The traditional expert system has shortcomings of poor self-learning ability, then expert system of diagnosis of jujube diseases and insects which is based on neural networks is designed. The related symptoms of jujube diseases and insect are collected and diagnosed by expert, the conclusion of the diagnostic process is regarded as the input neurons and output neurons of neural networks. After the learning of neural network, the results are as the part of knowledge base, and an improved neural network is designed, implementing the function of system diagnosis. The field test has shown that the system fully mimic the diagnosis function of the experts, greatly improving the efficiency of diagnosis.
Keywords :
agricultural products; diagnostic expert systems; diseases; learning (artificial intelligence); neural nets; expert system; jujube diseases; jujube insect diagnostic process; knowledge base; neural networks; neurons; Biological neural networks; Databases; Diseases; Expert systems; Insects; Knowledge engineering; Training; diseases and insects; expert system; jujube; neural networks;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028613