Abstract

The training efficiency of the existing innovative thinking training methods are not high. In order to improve the ability of optimizing learning and searching for innovative entrepreneurial thinking, and to improve the efficiency of cultivation innovative entrepreneurial thinking, a method of optimizing and controlling the cultivation path of innovative entrepreneurial thinking based on cognitive learning theory was proposed. Used particle swarm optimization method to construct the virtual space of path learning of innovative entrepreneurial thinking cultivation, and to simulate and construct the optimized learning environment model of innovative entrepreneurial thinking cultivation. By abstracting the space coordinate of innovative entrepreneurial thinking cultivation entered the virtual world of particle swarm filter population, the map grid model of innovative entrepreneurial thinking cultivation path tracking was obtained. Through particle swarm filter evolution to found a new mode of innovative entrepreneurial thinking cultivation, combined with global stability control and particle swarm cognitive learning algorithm, to realized adaptive optimization and global optimization control of innovative entrepreneurial thinking cultivation path. Improve the learning performance of entrepreneurial thinking. The simulation results show that the learning efficiency of path optimization is higher and the cost of path evolution is lower by using this method, which improves the efficiency of innovative entrepreneurial thinking cultivation. The feasibility of the proposed method is verified.

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