基于神经网络工具箱的能源预测

Energy prediction based on neural network toolbox

准确预测能源生产总值,对社会经济健康、稳定发展具有重要理论与现实意义。本文对1978~2014年我国能源生产总量数据进行预测研究,利用RBF和BP神经网络工具箱预测、对比预测精度。实验表明,RBF神经网络工具箱优于BP神经网络工具箱的预测精度。

It is of great theoretical and practical significance to accurately predict the total energy production value and to the healthy and stable development of social economy.In this paper,the data of China's total energy production from 1978 to 2014 are predicted and studied,and the accuracy of prediction and comparison of prediction and prediction of RBF and BP neural network toolbox is used.The experimental results show that the RBF neural network toolbox is superior to the prediction precision of BP neural network.