基于人工智能的电声设备设计与优化策略  

Design and Optimization strategy of Electroacoustic Equipment Based on Artificial Intelligence

作　　者：戴海霞 DAI Haixia(The Chinese Electrical Technical School,Wuxi 214400,China)

机构地区：[1]中船澄西高级技工学校,江苏无锡214400

出　　处：《电声技术》2024年第2期119-121,共3页Audio Engineering

摘　　要：文章全面分析了人工智能电声设备的现状,详细阐述人工智能在电声设备设计方面的应用,包括智能设计系统架构、数据驱动决策、用户体验交互智能化以及设计自动化与算法优化。同时,提出电声设备优化策略,包括性能优化算法、故障预测和自我修复、资源智能调度管理以及持续学习和适应性调整等,以提升电声设备的性能和用户满意度。This paper comprehensively analyzes the present situation of artificial intelligence electroacoustic equipment,and elaborates the application of artificial intelligence in electroacoustic equipment design,including intelligent design system architecture,datadriven decision-making,intelligent user experience interaction,design automation and algorithm optimization.At the same time,the optimization strategy of electroacoustic equipment is put forward,including performance optimization algorithm,fault prediction and self-repair,intelligent resource scheduling management,continuous learning and adaptive adjustment,etc.,in order to improve the performance and user satisfaction of electroacoustic equipment.

关 键 词：人工智能 电声设备 设计方法 

分 类 号：TN6[电子电信—电路与系统]