An Iterative Recursive Algorithm for Big Data System of Green Innovation Capability

In the process of corporate governance, there are problems of complex innovative data processing and inconsistent evaluation data, which is main affects the management in the company. To improve the corporate governance mechanism, this paper proposes an iterative recursive method as a bionic intelligent algorithm, iterative recursion method is a commonly used algorithmic thinking in the field of computer science, which has the potential to be widely used in optimization problems. This paper proposes the possibility of using iterative recursive methods for analysis and optimization. The results show that the iterative recursive method can accurately analyze the governance mechanism and improve the corporate governance ability, and its accuracy is very more the 95%, and better than the evaluation iterative recursion method of genetic algorithm can help enterprises achieve the goals of power decentralization, information transparency and governance efficiency improvement, and provide new ideas and methods for the improvement of corporate governance mechanism.