“人工神经网络”教学中的Matlab仿真工程实践

The Application of Modal Based on BP Neural Network in ANN Teaching

在"人工神经网络"课程的教学过程中,注重的是研究神经网络的理论和仿真,对其在实践应用的研究较少。本文将神经网络引入出口海产食品风险分析过程中,构建了一种改进型的神经网络风险分析模型,对海产食品进行定量的风险值评估,实现了从定性决策到定量决策的转变。测试结果表明,该模型具有较高的精确度,为神经网络教学在课程应用上提供了一种新的尝试。

The application is also ignored in Artificial Neural Network （ANN） teaching process. This paper presents an improvedmodal based on BP-neural network to make a quantitative assessment on the risk of export seafood. It shows the architecture and structure, merits and key technology in detail. Finally, the paper tests the algorithm of the system through some actual data, and the results show that this modal is with high accuracy and finds a new solution between the class and application.