Numerical Analysis and Scientific Calculation Considering the Management Mechanism of College Students’ Innovation and Entrepreneurship Education

Abstract

Purpose. This article aims to study how to analyze and study the numerical value of education management mechanisms based on cloud computing and describe the innovation and entrepreneurship of college students. Methodology. This article addresses the problems of numerical analysis and scientific computing. This problem is based on cloud computing, so it elaborates on the concepts and related algorithms of cloud computing and big data and designs and analyzes cases of numerical analysis and scientific computing of educational management mechanisms. Research Findings. Through the research of different kernel functions, the IG_CDmRMR algorithm can obtain relatively high accuracy results for numerical analysis and scientific computing. The IG_CDmRMR algorithm is the closest to expert evaluation. The maximum difference is 0.002, which is consistent in sample three. The maximum difference of the IG algorithm is 0.005, and the minimum difference is 0.002. The evaluation effect of the IG_CDmRMR algorithm is closer to the evaluation effect of experts. Practical Implications. It analyzes the numerical value of the education management mechanism and finds that the accuracy has a certain height. This has certain evaluation significance for the management mechanism of college students’ innovation and entrepreneurship education.

Recurrent Chain Feedforward Bayesian Statistic Network (Rcf-Bsn) Model: A Fuzzy Based Approach to Recognize Entrepreneurship and the Imperative for Education to Adapt

“…Moreover, Bayesian methods facilitate a holistic approach to problem-solving, encouraging students to consider multiple sources of information and weigh uncertainties systematically, thereby enhancing their critical thinking and analytical skills [5]. Furthermore, Bayesian statistics offers a powerful framework for predictive modeling and hypothesis testing, enabling students to assess the viability of business ideas, refine product designs, and optimize marketing strategies with greater precision [6]. By applying Bayesian techniques to real-world case studies and entrepreneurial simulations, students can gain hands-on experience in hypothesis generation, data collection, and model validation, thereby honing their practical skills and entrepreneurial intuition [7].…”

Relationship between Knowledge Flow of Scientific and Technological Innovation and the Collaborative Innovation Ability of Students

“…Scientific and technological innovation of college students in higher vocational colleges mainly includes scientific research and technological innovation facing production technology problems, which is an important part of scientific and technological innovation in higher vocational colleges [1][2][3][4][5]. At present, although the scientific and technological innovation activities of students from higher vocational colleges have made certain achievements [6][7][8][9], there are few innovative achievements that can be applied to actual production, and the scientific and technological content of technical application achievements is low, which is caused by many factors such as single innovation organization form [10,11] and weak innovation knowledge sharing ability [12][13][14][15][16][17], which directly or indirectly reflect the innovation enthusiasm and innovation performance of scientific research teams and individual college students.…”

Collaborative Innovation Ability Cultivation of College Students by Improving Achievement Transformation Efficiency

“…With rapid technology development and accelerated global economic integration, higher education development is faced with unprecedented challenges and opportunities [1][2][3][4][5][6][7]. Collaborative innovation ability cultivation of college students by improving the achievement transformation efficiency has become an important topic in higher education reform [8][9][10][11]. On the one hand, with sci-tech progress and industrial structure adjustment, the demand for innovative talents is becoming increasingly urgent.…”