Abstract

In an environment where technology is developing rapidly, product life cycles are constantly shortening, competition is increasing, and innovation resources are easily acquired by other competitors, it is particularly important for companies to successfully implement technological innovation. It is of great significance for companies to find the weak links of their technological innovation and prioritize improvement and enhancement of their technological innovation capabilities. As the main body of the agricultural machinery industry, private agricultural machinery enterprises are playing an increasingly important role. A correct understanding of the technological innovation activities of private agricultural machinery enterprises and the establishment of a reasonable evaluation index system for technological innovation capabilities are of great significance to the technological innovation management of private agricultural machinery enterprises. In accordance with the theory of technological innovation and the characteristics of private agricultural machinery enterprises, a technical innovation evaluation index system for private agricultural machinery enterprises has been established. The indicator system starts from the concept of private agricultural machinery enterprises, analyzes the status quo and development trend of the agricultural machinery industry, and takes private agricultural machinery enterprises in Heilongjiang Province as the research object. It summarizes the status quo and characteristics of technological innovation of private agricultural machinery enterprises and then establishes the private agricultural machinery enterprises. The system starts from the aspects of innovation resource input, innovation output, technology density, innovation effect, market realization, and innovation tendency, and selects 16 specific evaluation indicators. According to the established capability, projection pursuit is adopted. The method combined with the genetic algorithm and the genetic algorithm in MATLAB and the direct search toolbox were employed to comprehensively charge the capabilities of the five sample enterprises, and the evaluation results were objective and credible.

Highlights

  • Agricultural machinery plays an important role in promoting agriculture

  • Projection pursuit (PP) is a nonparametric high-dimensional data processing and exploratory data analysis method developed by the international statistical community in the mid-1970s

  • In 1974, Friedman and Tukey carried out an in-depth study on the projection pursuit method and clearly proposed the projection pursuit idea. at is, the sample data and the low-dimensional structure obtained by the projection are defined by the projection index

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Summary

Introduction

Agricultural machinery plays an important role in promoting agriculture. From the promulgation to the implementation of a series of central support policies, China’s agricultural machinery industry has ushered in a good situation of rapid development. Erefore, applying new technologies, developing new products, and vigorously promoting technological innovation are important responsibilities that private agricultural machinery companies must shoulder [16,17,18,19,20]. Shi Xiaoyan proposed the AHP method for comprehensive evaluation of technological innovation capabilities and applied network system theory. Bi Jianguo decomposes technological innovation capabilities into six elements: talent quality, product structure, operating mechanism, technology development, market adaptation, and award-winning honors, and uses the basic methods of set, weight, and fuzzy mathematics, and summarizes it with a set of relatively quantitative indicator systems. It reasonably converts multiple evaluation index problems into a single comprehensive evaluation index, that is, comprehensive evaluation in one-dimensional space. is method overcomes the shortcomings of the general evaluation process, such as the lack of theoretical basis and calculation formulas in the determination of weights, and solves the problem that the model is affected by subjective factors. e projection pursuit method is a high-dimensional data analysis method that can be used for exploratory analysis and deterministic analysis and is especially suitable for comprehensive evaluation of multi-index and nonlinear problems. is paper evaluates the technological innovation ability of private agricultural machinery enterprises [28, 29]

Evaluation Model
Improved Genetic Algorithm
Instance Verification
Conclusions
Full Text
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