摘要
采用三层结构的反向传播网络对全国公路客运量进行预测的结果表明,用神经网络预测交通运量比采用其他预测方法更加准确。
The passenger transport situation is forecasted using the three-layer back propagation network, whose result has shown that the precision for passenger transport forecast using neural network is higher than by other methods.
出处
《交通标准化》
2005年第8期130-132,共3页
Communications Standardization
关键词
人工神经网络
B—P算法
预测
交通运量
artificial neural network
B-P algorithm
forecast
passenger transport
