[Structural Analysis and Optimization Performance Forecast of SiO2-Based Phase Change and Humidity Storage Composite Materials with Fourier Transform Infrared Spectrum].  Composition structure of SiO2-based phase change and humidity storage composite materials were tested by Fourier transform infrared spectrum to analyze chimeric mechanism of SiO2 and fatty acid. 
Fourier transform infrared spectrum
Characteristic FTIR absorption peaks of SiO2-based phase change and humidity storage composite materials were considered as input layer; different fatty acid content of SiO2-based phase change and humidity storage composite materials, average values of absorption equilibrium moisture content and desorption equilibrium moisture content of SiO2-based phase change and humidity storage composite materials with relative humidity as 52.89%, and cooling time from 30 to 15 ℃ of SiO2-based phase change and humidity storage composite materials were seen as output layer respectively; S activation function was treated as hidden layer; then, optimization performance forecast model of SiO2-based phase change and humidity storage composite materials with structural parameters and phase change and humidity storage comprehensive performance was established by back-propagation neural network. 
back-propagation neural network
Guang pu xue yu guang pu fen xi = Guang pu
Shang Jian-li JL ;Zhang Hao H ;Xiong Lei L ;Ma Xiang-long XL 