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Problems and Countermeasures of Financial Management Specialty Based on Genetic Algorithm

机译:基于遗传算法的财务管理专业问题及对策

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The traditional financial management method is no longer applicable. Using intelligent means to analyze massive data is a trend of future development. But in the existing financial management education, most of them still use the traditional teaching mode, so that the professional quality of personnel training is not high. Therefore, this paper puts forward the problems and Countermeasures of financial management specialty based. This paper integrates it into the existing financial management system to optimize the reliability of the traditional. In the actual teaching, colleges and universities especially need to establish the teaching concept of big data financial management, strengthen modern teaching and enrich teaching content. Through the optimization and improvement measures of this paper, the modern teaching of financial management major in Colleges and universities has been basically realized. This paper tests the reliability of the optimized system and the traditional system. The test results show that the reliability of the optimized financial management system has been significantly improved.
机译:传统的财务管理方法不再适用。使用智能手段来分析大规模数据是未来发展的趋势。但在现有的财务管理教育中,大多数人仍然使用传统的教学模式,使人才培训的专业质量不高。因此,本文提出了基于财务管理专业的问题和对策。本文将其纳入现有的财务管理系统,以优化传统的可靠性。在实际教学,高校尤其需要建立大数据财务管理的教学理念,加强现代教学,丰富教学内容。通过本文的优化和改进措施,高校金融管理专业的现代教学基本上已经实现。本文测试了优化系统和传统系统的可靠性。测试结果表明,优化的财务管理系统的可靠性得到了显着改善。

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