Patent ID: 11972225
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A method comprising:
acquiring, at least one input, wherein the input is an image corresponding to a class of patent documents;
encoding the image input via a plurality of networks;
generating a set of vectors via the plurality of networks, wherein the set of vectors corresponds to a partial representation of the image derived from the plurality of networks;
decoding the set of vectors, based on a predetermined text corpus that corresponds to the class of patent documents, via the plurality of networks;
obtaining a claim set via the plurality of networks corresponding to the image; and
wherein the plurality of networks is trained by:
initializing at least one network of the plurality of networks with weights of a generated value and an adaptive learning rate to an initial value,
storing an input layer pattern of images and an output layer pattern of claims, wherein input layer pattern of images is at least one reference indicator associated with the image and the output layer pattern of claims is the at least one reference indicator associated with the claim set,
processing the input layer pattern of images in the network to obtain an output pattern of claims,
calculating an error between the output layer pattern of images and the output pattern of claims, and
updating the adaptive learning rate with respect to the calculated error until a final trained state is achieved, otherwise, repeating steps above for as many iterations as necessary to reach the final trained state.