Computer-implemented neural network color matching formulation system

A color matching system for matching a color of a standard using paint bases, said color of the standard being expressed as color values in a color coordinate system, comprising:

• a color measuring device that generates input color values from said color standard at a plurality of different angles;
• a neural network that includes an input layer having a plurality of input nodes that are associated with said color values, an output layer having at least one output node that represents a paint recipe for said color standard that includes one or more paint bases, and first weighted connections between said input nodes of said input layer with said output nodes of said output layer,
• wherein said first weighted connections determine the contribution of said input color values at said input layer to each of said paint bases at said plurality of different angles;
• and
• a color comparator for comparing said input color values with output color values related to said paint recipe.

A method for matching color of a standard using paint bases using a paint color matching system, said color of the standard being expressed as color values, said method comprising:

• receiving input data related to the paint bases at an input layer having nodes, said input data based on color values that are generated at different angles;
• assigning a first weighted connection to each of said nodes of said input layer, each of said first weighted connections having a coefficient for weighting said input data;
• generating output data from an output layer related to color values, said output data based on paint bases, said output layer having nodes connected to said first weighted connections;
• and
• whereby said output data is calculated from a non-linear relationship between said input data and said output data.