遗传神经网络在公交客流量预测中的应用研究

Application of Hereditary Neura1 Net in Public Transport Passenger Volume Forecast

全面考虑影响公交客流量的各个因素,建立遗传神经网络预测模型,并把其预测结果和神经网络BP算法的预测结果进行比较,这种方法具有很强的学习能力和自适应性,其预测结果优于神经网络BP算法的预测结果,故具有很好的应用价值。

First considering various influential facts fully and building hereditary neural net forecast model, then comparing hereditary neural net forecast result with the forecast result of neural net of BP algorithm. For hereditary neural net owning strong learning ability and serf-adaptability, so it is better than neural net of BP algorithm and has good value for application.