摘要
对石油价格进行预测,旨在寻找石油价格的低谷期,而Elman动态递归神经网络可以准确预测石油价格的走势.特别是在收集的数据存在噪声的情况下,Elman神经网络能很好地预测石油价格的变动,并且与BP神经网络相比,预测所得结果的精度进一步提高.
The crude oil price expectation aims to find out the trough of the crude oil price, and Elman neural network could forecast the trend of the crude oil price, especially under the condition that the data have some noise sequence. Compared with the BP neural network, Elman neural network could forecast the trend of the crude oil price more precisely.
出处
《云南民族大学学报(自然科学版)》
CAS
2013年第1期31-35,共5页
Journal of Yunnan Minzu University:Natural Sciences Edition
基金
国家自然科学基金(61063011)
云南大学中青年骨干教师培养计划
云南大学校内基金(2010YB020)