佛山科学技术学院学报（自然科学版）2026，Vol.44Issue(1)：80-86,7.
面向数字创意产业的ANN-SNN混合神经网络架构研究
Research on ANN-SNN hybrid neural network architecture for digital creative industries
摘要
Abstract
Aiming at the computational bottleneck and low energy efficiency of traditional neural networks when processing large-scale data,this study proposes an innovative hybrid neural network architecture that deeply integrates ANN(artificial neural network)and SNN(spiking neural network).This architecture improves the interactivity,intelligence and efficiency of virtual reality(VR)and animation creation.A dynamic weight allocation mechanism is introduced,which utilizes task-aware α and β coefficients to dynamically adjust the output contributions of ANN and SNN,thereby adapting to the real-time interaction requirements of multimodal data.At the same time,a hierarchical fusion strategy is designed to achieve efficient coupling of spatiotemporal features in the core network layer,solving the response delay problem of traditional models in dynamic scenes.Experimental results show that the ANN-SNN fusion architecture is superior to traditional ANN models and SNN models in multiple dimensions.关键词
混合神经网络/虚拟现实技术/动漫设计/用户体验/计算效能Key words
hybrid neural networks/virtual reality/animation design/user experience/computational efficiency分类
信息技术与安全科学引用本文复制引用
沈悦..面向数字创意产业的ANN-SNN混合神经网络架构研究[J].佛山科学技术学院学报（自然科学版）,2026,44(1):80-86,7.基金项目
安徽省高等学校科学研究项目(2024AH052670) （2024AH052670）
