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- W3152603670 abstract "With the development of information perception technology, artificial intelligence technology and network technology, as well as the improvement of people's living standards, people's pursuit of quality of life is also higher and higher. Due to the indoor environment as the main living environment of people, the indoor environment monitoring system at home came into being under this background. At present, the system for home environment in the market is still very lack of intelligence, users have a lot of inconvenience, the system can not provide real-time and reasonable services to users. The ideal home indoor environment monitoring system should have the ability of real-time collection of indoor environmental data, synchronous processing of massive data, intelligent decision-making and real-time monitoring ability, and can provide users with intelligent and personalized monitoring services. In this paper, based on the summary of relevant research at home and abroad, using embedded technology, wireless sensor network technology, optimization control and other technological means, research and design a set of indoor environment monitoring system based on improved neural network algorithm." @default.
- W3152603670 created "2021-04-26" @default.
- W3152603670 creator A5081256666 @default.
- W3152603670 date "2021-01-01" @default.
- W3152603670 modified "2023-09-25" @default.
- W3152603670 title "Design of Indoor Environment Monitoring System Based on Neural Network Algorithm" @default.
- W3152603670 cites W2373159405 @default.
- W3152603670 doi "https://doi.org/10.1007/978-3-030-74811-1_66" @default.
- W3152603670 hasPublicationYear "2021" @default.
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