Color matching system with supporting computer

Abstract

Abstract PURPOSE:To present the composition ratio of basic color materials of a mixed color being equal to a sample color and the composition amounts of the basic color materials without necessitating complicated approximation computation and a great number of data for increasing precision, by having a neural net of a multilayer feed forward connection type in a conversion element. CONSTITUTION:A conversion element 2 is provided with an input element 1, an output element 3 and a learning element 6 for making a neural net of the conversion element learn, as attachments. The learning element 6 comprises a modifying part 8 and a supervising part 9. The input element 1 conducts spectral analysis of a sample color of which the composition ratio is desired to know, and prepares data on spectral intensity sampled on a frequency axis, or data on another color-representing value. A spectrophotometer on the market can be used therefor. A neural network used for the conversion element 2 is a neural net of a feed forward connection type. The neural net in a state of having learned a plurality of sample colors outputs the correct composition ratio of basic color materials, by generalization, for a spectrum distribution or the color-representing value inputted also in regard with a color other than the learned sample colors.

Inventors

• 👤 Kimitaka Nakano
• 👤 仁貴 中野

Bibliographic Details