The construction of cross-regional cooperation innovation network governance system based on data fusion technology

Abstract

Abstract In recent years, with the development of network computer science and the increasing maturity of artificial intelligence technology, data fusion technology has been applied more and more widely. In order to respond to real-life needs and prevent and resolve risks, it helps to further broaden the research path of network governance. This paper focuses on network governance in the era of Internet big data, and uses an algorithm based on data fusion technology to calculate the judgment data, calculation formula and posterior estimates by computing the feature vector X and the measurement value I. After finding the maximum posterior estimate, the probability of evidence under the hypothesis is calculated using the subjective probability as the prior probability of the hypothesis. A multi-degree-of-freedom model is established for simulation research, so as to build a diversified, collaborative and intelligent innovative network social governance system across regional cooperation. The experiment proves that when the threshold value c = 0.4, the performance and efficiency are the best, and it is more able to enhance the leading position of the mainstream value and the assessment mechanism of the relevant departments, which can accelerate the guarantee of the implementation of the network ecological governance system on the ground.