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基于人工智能的电声设备设计与优化策略

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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.
Design and Optimization strategy of Electroacoustic Equipment Based on Artificial Intelligence
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,data-driven 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.

artificial intelligenceacoustic devicesdesign methods

戴海霞

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中船澄西高级技工学校,江苏 无锡 214400

人工智能 电声设备 设计方法

2024

电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
年,卷(期):2024.48(2)
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