An Online Intelligent System based on Multi-Network Information Sharing Algorithm

An online intelligent system for the cultivation of entrepreneurial talents in colleges based on the multi-network information sharing algorithm is studied in the paper. With the continuous increase of the amount of information, the reliability of the information transmission of the traditional method is obviously improved. The main reason is that in a small-scale target network, when the amount of network information reaches a certain amount, the phenomenon of competition and conflict of information communication channels is less. The success rate of information sharing nodes accessing the communication link is relatively high. Swarm based intelligent algorithms have the ability to deeply explore the search space and return the global optimal solution, and have certain advantages in solving practical optimization problems. Hence, a combination of the mentioned ideas is considered to create the novel online intelligent system for the cultivation of entrepreneurial talents in colleges based on multi-network information sharing algorithm. Through the experimental test on the different datasets, the performance is validated.