Indoor comfort comprehensive evaluation system and method based on artificial neural network model
An artificial neural network and neural network model technology, applied in biological neural network models, neural architectures, instruments, etc., can solve problems such as over-learning, difficulty in network structure selection, and difficulty in determining membership functions, so as to speed up computing and reduce system costs. error, the effect of improving accuracy
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[0012] Combine below Figure 1 to Figure 3 , the present invention is described in further detail.
[0013] refer to figure 1 , a comprehensive evaluation system for indoor comfort based on artificial neural network models, including a data acquisition unit 10, a data transmission unit 20, and a remote server 30, and the data acquisition unit 10 is used to collect indoor temperature, relative humidity, and average radiant temperature , light intensity, wind speed, noise and CO 2 content and the collected data is transmitted to the remote server 30 through the data transmission unit 20, and the remote server 30 substitutes the received data into the neural network model to calculate the comfort level of the indoor environment, and the neural network model is trained using the cuckoo search algorithm inferred. By adding noise and CO 2 The collection of content can further improve the accuracy of indoor environment comfort evaluation; at the same time, the neural network mode...
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