摘要
能源是经济发展的基础,江苏省经济发展迅速,但是能源相对短缺。对影响江苏省主要能源结构的指标进行灰色预测,将灰色预测得到的未来十年的指标值输入完成训练后的BP神经网络中,得到未来十年的主要能源比例的预测值。
Energy is the basis of economic development, economic development of Jiangsu Province is rapid, but the energy is relative shortage. Firstly grey predicted indicators that effect energy structure in Jiangsu Province, and then got the predicted value of the main energy ratio over the next decade by entering gray predicted index value in the next decade into the BP neural network after completed training.
出处
《能源与节能》
2012年第10期51-53,55,共4页
Energy and Energy Conservation
基金
中央高校基本科研业务费专项资金(JX111742)
关键词
能源
消费
灰色预测
BP神经网络
energy
consumption
gray prediction
BP neural network
