基于人工智能卷积神经网络的文化基因库数字化构建  

作　　者：王名昌 李佳倩 刘梦丽 

机构地区：[1]桂林电子科技大学设计与创意学院,广西北海536000

出　　处：《科技创新与应用》2025年第12期20-25,32,共7页Technology Innovation and Application

基　　金：2023年桂林电子科技大学科学研究基金项目(2023KYJ003)。

摘　　要：数字化文化基因库,作为民族文化存储与保护的创新手段,其构建融合生物学理念、先进计算机算法与设计学理论,其中算法和设计的融合是影响构建成效的关键。通过深入对比BP神经网络技术与卷积神经网络技术(CNN)在技术应用上的差异,分析CNN在文化基因库构建中的独特价值和显著优势,提出基于CNN技术的文化基因库构建策略,展示基于CNN技术和设计理论及方法融合构建数字化文化基因库的具体步骤与侗族文化基因(鼓楼)库实践案例,为文化基因库的构建提供新的工具和方法,有助于更高效实现民族文化的保护与传承。The digital cultural gene bank,as an innovative means of storing and protecting ethnic culture,integrates biological concepts,advanced computer algorithms,and design theory in its construction.The integration of algorithms and design is the key factor affecting the effectiveness of its construction.By deeply comparing the differences in technical applications between BP neural network technology and convolutional neural network technology(CNN),this paper analyzes the unique value and significant advantages of CNN in the construction of cultural gene libraries.A strategy for constructing cultural gene libraries based on CNN technology is proposed,and the specific steps of integrating CNN technology and design theory and methods to construct a digital cultural gene library are demonstrated,along with a practical case of Dong ethnic cultural gene(Gulou)library.This provides new tools and methods for the construction of cultural gene libraries,which helps to achieve more efficient protection and inheritance of ethnic culture.

关 键 词：卷积神经网络 文化基因 人工智能 数字化 文化保护与传承 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]