Analysis of the Effectiveness of Integrating Traditional Chinese Medicine Culture and Tang Grass Pattern into Medicinal Packaging Design for User Experience Enhancement - Simulation and Modeling based on SNNs Neural Network FittingIntegrating Traditional Chinese Medicine Culture and Tang Grass Pattern into Medicinal Packaging Design for User Experience Enhancement

[Background] This study investigates the effectiveness of integrating traditional Chinese medicine culture and the Tang grass pattern into medicinal packaging design for enhancing user experience. [Method]The research addresses the complex data processing and large-scale model challenges associated with this topic. An improved dual machine learning causal inference model is proposed, based on the SNNs network structure and incorporating a multi-strategy optimization framework. The model achieves enhanced causal inference accuracy while reducing model size and computational requirements. [Result]Experimental results demonstrate that the improved dual machine learning model, compared to the previous SNNs model, exhibits reduced model size and computational workload, with a causal inference prediction accuracy of 96.2%. [Implication]The improved SNNs algorithm provides better causal inference for evaluating the effectiveness of user experience.