数学建模教学改革研究——以忆阻型神经网络建模为例

Research on the Reform of Mathematical Modeling Teaching——A Case of Modeling for Memristor-based Neural Network

以忆阻型神经网络建模为例对数学建模教学改革进行研究。分析了当前数学建模教学过程中存在的问题,探讨了忆阻型神经网络数学建模的意义、过程和数值模拟分析,提出了数学建模教学的改革措施:结合工农业生产和前沿科学问题建设现代化数学建模教学模式,采用多样化教学手段,组建专业型教学团队并结合学科专业加强实践教学,鼓励学生在毕业设计中融入数学建模思想并参加数学建模比赛。通过忆阻型神经网络数学建模教学,可使学生了解到前沿科学问题,提高数学思维能力和解决问题的能力。

Through taking mathematical modeling of memristor-based neural network as an example,we discuss the reform of mathematical modeling teaching.The paper first analyzes the existing problems in the current teaching process of mathematical modeling,explores the significance,modeling process and the numerical simulation analysis of the memristor-based neural network,and proposes the reform measures of mathematical modeling teaching,such as constructing modern mathematics modelling teaching model through combining industrial and agricultural production and frontier science,adopting various teaching methods to construct professional teaching team and strengthening practical teaching through combining with the subjects and majors,encouraging students to integrate the mathematical modeling thinking into graduation project and to participate mathematics modeling competition.Mathematical modeling teaching through the memristor-based neural network can make students understand frontier scientific issues,and improve mathematics thinking ability and problem-solving ability.