Indoor environment improvement method and system based on neural network algorithm, and storage medium

The invention discloses an indoor environment improvement method based on a neural network algorithm. The indoor environment improvement method comprises the following steps of detecting an indoor environment value under a preset indoor environment comfort index value, wherein the indoor environment value comprises temperature, humidity, illumination intensity and carbon dioxide content; acquiringuser comfort feedback data, wherein the user comfort feedback data are the feeling feedback of a user on the indoor environment value under the preset indoor environment comfort index value; inputting the feedback data into a neural network training model to obtain an indoor environment optimal value based on user experience; and controlling the operation of intelligent household appliances according to the indoor environment value based on the user experience. According to the indoor environment improvement method based on the neural network algorithm provided by the invention, the preference of the indoor environme