TY - JOUR A2 - Jan, Naeem AU - Yang, Juanjuan AU - Chuan, Tee Boon PY - 2022 DA - 2022/06/14 TI - [Retracted] Evaluation and Analysis of Traditional Customary Law Based on the Perspective of Big Data SP - 5088630 VL - 2022 AB - Today’s rule of law construction in China is walking between the conflict and coordination of factors such as reality and ideals, tradition and modernity, local and foreign, and local knowledge and universal principles, all while continuing to strengthen the unification of the legal system and advance the modernization of the rule of law. Traditional customary law, which is the most representative local resource culture, is unquestionably one of the most important themes in the formation of the rule of law. It has far-reaching significance for the development of ethnic jurisprudence, the reunderstanding of traditional culture, and the construction of ethnic unity and harmonious society. Based on this background, this paper uses big data technology to collect relevant experimental data and proposes a traditional customary law value assessment based on BPNN. The completed work is as follows: (1) this paper clarifies the concept of customary law and the difference between it and related concepts and introduces the domestic relevant research on traditional customary law and the interactive relationship between customary law and national law in dynamic legal practice and puts forward the status and influence of customary law in contemporary legal practice. (2) The related technologies of neural network are introduced, and a traditional customary value evaluation system that can be used for experiments is constructed. (3) Experiment with the designed data set to see if the BP model is feasible. The experimental results suggest that the model proposed in this study has a low error rate and performs well while evaluating traditional common law values. SN - 1748-670X UR - https://doi.org/10.1155/2022/5088630 DO - 10.1155/2022/5088630 JF - Computational and Mathematical Methods in Medicine PB - Hindawi KW - ER -