Research on the Construction of Legal System of Religious Property Rights based on Big Data Technology

In order to improve the scientific nature of the legal system of religious property rights, this paper combines big data technology and echo network technology to analyze the legal system of religious property rights, and proposes a DTDR-HCRJ network method. The method combines dynamic time delay based data reconstruction and HCRJ neural network to perform multivariate time series prediction for religious property rights data analysis. Moreover, according to the distribution and degree of variation of dynamic time delays, this paper tailors the time dimension and span of the corresponding multivariate data for each predicted value. Through the experimental research, it can be seen that the legal system model of religious property rights based on big data technology based on this problem has certain effects.