基于动态神经网络的广东省经济增长预测

Guangdong economy growth prediction based on dynamic neural network

利用动态神经网络的时间序列预测功能,建立动态神经网络预测模型,以广东省1978年-2013年国内生产总值历史数据建立时间序列作为样本进行学习,对广东省GDP的发展趋势进行了模拟,然后对广东省未来五年的GDP发展趋势做出预测。未来五年GDP增长的预测结果表明预测模型具有较好预测效果,可以利用该模型对广东省经济增长进行预测。由于广东省处于经济转型过程中,经济增长未来有放缓趋势。

By the theory of dynamic neural network, the paper analyzes the past GDP in Guangdong Province and its yearly development and then predicts with sat- isfaction its yearly economic growth .It is effective result that is by the theory of dynamic neural network. Finally it was discovered that forecast using dynamic neural network could achieve very good effect.As a re- sult of Guangdong Province in the process of economic transition, future economic growth is slowing trend.