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在建立商品林投资风险评价指标体系的基础上,运用人工神经网络的建模方法,利用MATLAB神经网络工具箱,对实例进行了训练和预测,建立基于BP神经网络的商品林投资风险评估模型。对其检测发现,期望输出与实际输出的误差很小,说明该模型能较为准确地按照专家的评价方法进行工作,可以为商品林投资提供了现实可用的风险预测和评估工具,进一步显示出人工神经网络模型在现代商品林经济领域应用的广阔前景。
Based on the establishment of index system of investment risk of commercial forest, the model was built by using artificial neural network and the MATLAB neural network toolbox was used to train and forecast the investment risk assessment model of commercial forest based on BP neural network. The test found that the expected output and the actual output of the error is small, indicating that the model can be more accurately in accordance with expert evaluation methods to work for the commercial forest investment provides a realistic tool for risk prediction and assessment, and further shows that the artificial The Broad Prospect of Application of Neural Network Model in Economic Field of Modern Commercial Forest.