径向基神经网络在木材销售量预测中的应用

基于径向基的神经网络算法在木材销售量预测上的应用,利用历史销售量数据作为样本训练数据,通过径向基的神经网络算法得到的预测值。通过Matlab仿真的结果表明预测值与实际销售量值相比较误差很小。预测数据可作为申请采伐的依据上报给上级国家林业部门,有助于林业管理部门制定更科学的采伐计划,有助于减少贮木场库存,从而提高经济效益。

Application of Radial-basis Function Neural Network in Lumber Sales Forecast

Based on the application of RBF-based neural network in prediction of lumber sales and using historical sales data as training data samples by Radial-basis function neural network algorithm for obtain the predicted value.Matlab simulation results show that compared with the actual value,the prediction error is small.Forecast data can be used as a basis for cutting applications submitted to the higher state forestry sector which helps to establish more scientific logging plans and reduce the log yard invento...