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.

现有创新思维训练方法的训练效率不高。为了提高优化学习和寻找创新型企业家思维的能力，提高创新型企业家思维的培养效率，提出了一种基于认知学习理论的优化和控制创新型企业家思维的培养路径的方法。运用粒子群优化方法构建创新型企业家思维培养路径学习的虚拟空间，模拟并构建创新型企业家思维培养路径的优化学习环境模型。通过抽象化创新企业家思维培养的空间坐标，进入了粒子群过滤器种群的虚拟世界，获得了创新型企业家思维培养路径跟踪的地图网格模型。通过粒子群滤波器的演化，找到了创新型企业家思维培养的新模式，结合全局稳定性控制和粒子群认知学习算法，实现了创新型企业家思维培养路径的自适应优化和全局优化控制。提高创业思维的学习表现。仿真结果表明，该方法提高了路径优化的学习效率，降低了路径演化的成本，提高了创新型企业家思维培养的效率。验证了该方法的可行性。通过粒子群滤波器的演化，找到了创新型企业家思维培养的新模式，结合全局稳定性控制和粒子群认知学习算法，实现了创新型企业家思维培养路径的自适应优化和全局优化控制。提高创业思维的学习表现。仿真结果表明，该方法提高了路径优化的学习效率，降低了路径演化的成本，提高了创新型企业家思维培养的效率。验证了该方法的可行性。通过粒子群滤波器的演化，找到了创新型企业家思维培养的新模式，结合全局稳定性控制和粒子群认知学习算法，实现了创新型企业家思维培养路径的自适应优化和全局优化控制。提高创业思维的学习表现。仿真结果表明，该方法提高了路径优化的学习效率，降低了路径演化的成本，提高了创新型企业家思维培养的效率。验证了该方法的可行性。以实现适应性优化和全局优化控制的创新型企业家思维培养路径。提高创业思维的学习表现。仿真结果表明，该方法提高了路径优化的学习效率，降低了路径演化的成本，提高了创新型企业家思维培养的效率。验证了该方法的可行性。以实现适应性优化和全局优化控制的创新型企业家思维培养路径。提高创业思维的学习表现。仿真结果表明，该方法提高了路径优化的学习效率，降低了路径演化的成本，提高了创新型企业家思维培养的效率。验证了该方法的可行性。这提高了创新型企业家思维培养的效率。验证了该方法的可行性。这提高了创新型企业家思维培养的效率。验证了该方法的可行性。