基于GA-BP算法的模糊神经网络模型在港口物流量预测中的应用

Application Based on GA-BP Algorithm of Fuzzy Neural Network Model on Port Throughput Forecasting

以国内某港口为例,通过应用遗传算法改进的BP学习算法(GA-BP)的模糊神经网络模型,对港口物流量进行预测。最后,利用Matlab软件对样本数据进行训练和测试,仿真结果表明所构造的改进模型预测误差非常小。

The paper forecasted the port throughput of a harbor as an example by using the GA-BP algorithm of neural network. At last, the sampled data are trained and tested by matlab software, and the simulation results proved the proposed model＇s validity.