人工神经网络
期限(时间)
混乱的
计量经济学
遗传算法
计算机科学
人工智能
机器学习
经济
量子力学
物理
作者
Zhe Min Li,Shichao Xu,Li Cui,Gan Qiong Li,Xiao Xia Dong,Jian Wu
出处
期刊:Advanced Materials Research
日期:2012-12-01
卷期号:628: 350-358
被引量:13
标识
DOI:10.4028/www.scientific.net/amr.628.350
摘要
After analyzing and reviewing the short-term forecasting methods research of pork price at home and abroad, a chaotic neural network model based on genetic algorithm (CNN-GA) was put forward according to the nonlinear characteristics of pork price,which established on the base of the chaotic theory and the neural network technology. Chosen the daily retail price data of the pork (streaky pork) from January 1, 2008 to June 11, 2012,we designed the basic structure of CNN-GA, and thentrainedit in order to attain the trained CNN-GA model. Finally, the trained CNN-GA model was used to predict the 20 days’ (from June 12, 2012 to July 1, 2012) retail price of pork (streaky pork) and then compared the predicted price with the real price to test the model’s forecast accuracy and application ability.The result shows that the model has high prediction precision, good fitting effect and hasan important reference and practical significance for the short-term price forecasting of the pork market.
科研通智能强力驱动
Strongly Powered by AbleSci AI