1. A method for creating a paint color database, comprising: a first step of storing spectral reflectance data and micro-brilliance data expressing particle feeling of a plurality of paint colors in a recording unit after associating each spectral reflectance data and each micro-brilliance data with a code for specifying each paint color; a second step of storing texture evaluation values of sample paint colors selected from the plurality of paint colors in the recording unit after associating the each texture evaluation value with the code; a third step of calculating characteristic quantities of the paint colors expressing textures using the spectral reflectance data and the micro-brilliance data, and storing the characteristic quantities in the recording unit after associating the each characteristic quantity with the code; a fourth step of carrying out a process for training a neural network having input units corresponding to the characteristic quantities and output units corresponding to the texture evaluation values, using the characteristic quantities and the texture evaluation values of the sample paint colors as training data; and a fifth step of inputting characteristic quantities of the paint colors other than the sample paint colors into the neural network after the training process, and storing output data in the recording unit after associating the each output data with the code.