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深度神经网络在智能照明系统中的光照预测模型开发

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随着智能家居和智慧城市的快速发展,智能照明系统作为其重要组成部分,需要能够自动调节光照以满足用户需求;同时,也需具备预测未来光照变化的能力,以实现更加精确和节能的光照控制.深度神经网络作为一种强大的机器学习技术,在处理大量复杂数据方面具有显著优势,其在智能照明系统中的应用可以有效提升光照预测精度和系统智能化水平.因此,本文将探讨深度神经网络在智能照明系统中的光照预测模型开发,以期为智能照明领域提供理论参考.
Deep Neural Networks for Light Prediction Model Development in Smart Lighting Systems
With the rapid development of smart homes and smart cities,smart lighting systems,as an important part of them,need to be able to automatically adjust the light to meet the needs of users,and have the ability to predict future light changes in order to achieve more accurate and energy-efficient light control.Deep neural network,as a powerful machine learning technology,can be used in intelligent lighting systems to improve the light prediction accuracy and the intelligence of systems due to its advantages in processing large amounts of complex data.Therefore,this paper will explore the development of light prediction model of deep neural network in intelligent lighting system,in order to provide theoretical references for the field of intelligent lighting.

deep neural networkintelligent lighting systemlight prediction model

邓抒江

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绵阳城市学院,四川绵阳 621000

深度神经网络 智能照明系统 光照预测模型

2024

中国照明电器
中国照明电器协会 国家轻工业照明电器信息中心 北京电光源研究所

中国照明电器

影响因子:0.271
ISSN:1002-6150
年,卷(期):2024.(6)