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Development of Mathematical MOOC System Based on bp neural algorithm 22

Development of Mathematical MOOC System Based on BP Neural A...

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Proceedings of the 2022 5th International Conference on Education Technology Management

作者： Youzeng Wang Qingzhao Su Zijie Wang Shandong Water Conservancy Vocational College China Rizhao Electrical And Mechanical Engineering School China Qufu Normal University China

ISBN: (纸本)9781450398015

The emergence of MOOC has constantly affected and changed people's learning methods. With the development and popularization of the Internet and computer technology, it has brought a huge impact on the traditional teaching of mathematics, and has also brought great convenience to our learning. In order to solve the shortcomings of the existing research on the application of bp neural algorithm in the development of mathematical MOOC system, this paper discusses the characteristics of MOOC system and the back propagation and generalization ability of bp neural algorithm, and briefly discusses the Python graphical interface development and system development environment for the application of bp neural algorithm in the development of mathematical MOOC system. Through the analysis of the mathematical formula recognition model by using the full convolution neural network and the bidirectional cyclic neural network, the experimental data analysis shows that HGNN can obtain more useful information from a smaller set of items to identify mathematical formulas. The teaching process design of mathematical MOOC system based on bp neural algorithm is designed, and the mathematical MOOC course is developed using the application of bp neural algorithm in mathematical MOOC system. It provides a reference for the application of mathematical MOOC system under bp neural algorithm.

关键词： System Development bp neural algorithm Mathematics MOOC System Convolution neural Network

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Reliability Optimization Analysis of Financial Management System Based on bp neural Network algorithm 3

Reliability Optimization Analysis of Financial Management Sy...

引用

3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Zhang, Zhihong Guangzhou Institute of Science and Technology Guangdong Guangzhou510540 China

ISBN: (纸本)9798350319125

The reliability optimization analysis of financial management systems based on bp neural network algorithm is an important topic in the financial field. The financial management system plays a crucial role in the financial management of an organization, and its reliability is crucial for the smooth operation of the organization. The bp neural network algorithm is a powerful tool that can be used to optimize the reliability of financial management systems. This algorithm can analyze a large amount of data and identify patterns that help improve the performance and reliability of financial management systems. By using this algorithm, organizations can identify potential problems in their financial management systems before they arise. This enables them to take proactive measures to prevent these issues from occurring, ultimately improving performance and profitability. In summary, reliability optimization analysis based on bp neural network algorithm is an important research field in the financial field. It provides organizations with a powerful tool to improve their financial management systems and ensure their long-term success. © 2023 IEEE.

关键词： bp neural algorithm Financial management system Financial sector Reliability analysis

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