ABSTRACT

In order to improve the effect of agricultural economic structure optimisation, this paper builds an agricultural economic structure optimisation analysis system based on factor analysis and intelligent algorithms, and uses a set of low-dimensional hidden factor vectors to describe the covariance matrix structure of high-dimensional observation vectors. Moreover, this paper combines the algorithm with the actual situation to obtain the optimisation analysis process of the agricultural economic structure. On this basis, this paper analyses the optimisation of agricultural economic structure in practice with a case analysis method. Moreover, this paper uses mathematical analysis to process agricultural economic structure data, and uses mathematical statistics to visualise the process of data processing. In addition, this paper combines the weighted average to perform parameter processing, combines with the comparative analysis method to obtain the agricultural economic results parameters, and analyses these parameters. Finally, on the basis of the above, this paper proposes the corresponding optimisation strategy of agricultural economic structure. The research results show that the method proposed in this paper has a certain effect.

摘要

为提高农业经济结构优化效果，本文构建了基于因子分析和智能算法的农业经济结构优化分析系统，利用一组低维隐因子向量来描述高维的协方差矩阵结构。维观察向量。此外，本文将算法与实际情况相结合，得到了农业经济结构的优化分析过程。在此基础上,本文采用案例分析法对农业经济结构优化实践进行分析。此外，本文利用数学分析对农业经济结构数据进行处理，利用数理统计将数据处理过程可视化。此外，本文结合加权平均进行参数处理，结合比较分析法得到农业经济成果参数，并对这些参数进行分析。最后，在此基础上，本文提出了相应的农业经济结构优化策略。研究结果表明，本文提出的方法具有一定的效果。