CPC G06F 16/9558 (2019.01) [G06F 16/9535 (2019.01); G06N 3/02 (2013.01)] | 20 Claims |
1. A system for determining the disposition of a hyperdocument using a trained artificial neural network, the system comprising:
an information source component, wherein the information represents RGB pixel color data;
a content transfer component;
a component requesting information from the information source component through the content transfer component; and
a computer server component having one or more processors containing a trained artificial neural network having one or more hidden nodes and one or more hidden layers capable of evaluating the information from the information source component with the computer server configured to:
receive RGB pixel color data from the content transfer component;
dither the RGB pixel color data to a color palette;
create inputs to the artificial neural network using the dithered pixels;
evaluate the artificial neural network using a sigmoid activation function;
categorize the output value from the evaluation of the artificial neural network;
and return data to the content transfer component based on the category of the output value.
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