Back to results
US 2017/0249387 A1Published application
Methods and systems for investigation of compositions of ontological subjects and intelligent systems therefrom
AssigneeHamid Hatami-Hanza
InventorHamid Hatami-Hanza
Life of this patent
Estimating the term…
Abstract
Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations. The data structures built and the knowledge acquired by a machine through executing the investigation methods of the present disclosure enables artificial intelligent systems, machines, and agents to perform intelligent tasks and jobs.
Claims20
A system for training a network of nodes comprising:
- one or more computing or data processing devices operatively coupled to one or more computer readable non-transitory storage media,
- accessing, by the one or more processing devices, a body of knowledge or a composition of ontological subjects,
- partitioning the composition into several pluralities of ontological subjects, wherein each plurality is assigned with a predefined order,
- building, by one or more of the processors, one or more data structure corresponding to participation of some of ontological subjects of the composition, having assigned with a first predefined order, into some of ontological subjects of the composition having assigned with a second predefined order,
- storing said one or more data structure into said one or more non-transitory computer readable storage media,
- calculating, by processing said one or more data structure by said one or more computing or data processing devices, value significances of at least some of the oncological subjects of the composition, having assigned with the first or the second predefined order, according at least one measure of significance,
- calculating, by processing said one or more data structure by one or more computing or data processing units, association strength values between some of the ontological subjects of the composition, according to at least one measure of association strength measure,
- building a network of nodes comprising several layers, each layer having one or more nodes, including input and an output layers, wherein some of nodes of each layer are connected to some nodes of another layer, and wherein some of the nodes are representative of some of the ontological subjects of the composition of a desired order,
- wherein the connection weight between said nodes are derived from said value significances and said association strength values of some of said ontological subjects of the composition;
- and
- wherein the weight can be further altered based on data entered in the input layer.
8 more elements
A graphical processing unit for processing one or more image composition comprising:
- one or more graphic processing units, each having one or more number of cores,
- accessing data corresponding to said one or more image composition;
- partitioning an image from the one or more images into two or more plurality of predefined number of pixels,
- generating, using one or more computing or data processing devices, a first one or more data structure, corresponding to participation of some of partition of said image with a first predefined order into other partitions of said image having a second predefined order,
- storing said first one or more data structure to at least one non-transitory computer readable storage media,
- assigning and calculating a value significance for some of the partitions of the image, by processing said first one or more data structure, according to least one measure of significance value,
- assigning and calculating association strengths between some of the partitions of said image, by processing said first one or more data structure,
- building a second one or more data structures corresponding to data of at least one said value significances or said association strength of ontological subjects of the body of knowledge,
- storing said second one or more data structure in one or more non transitory computer-readable storage media.
6 more elements
A non-transitory computer readable medium having executable instructions operable to cause a data processing apparatus to process a body of knowledge composed of one or more images comprising:
- generating, from encoded image data of said one or more images, several pluralities of image partitions, wherein each plurality of partitions having deferent pixel sizes, or pixel data part, and is assigned with a predefined ontological subject order,
- generating, using one or more computing or data processing devices, a first one or more data structure, corresponding to participation of some of partition of said image with a first predefined order into other partitions of said image having a second predefined order,
- storing said first one or more data structure to at least one non-transitory computer readable storage media,
- assigning and calculating a value significance for some of the partitions of the image, by processing said first one or more data structure, according to least one measure of significance value,
- assigning and calculating association strengths between some of the partitions of said image, by processing said first one or more data structure,
- building a second one or more data structures corresponding to data of at least one said value significances or said association strength of ontological subjects of the body of knowledge,
- storing said second one or more data structure in one or more non transitory computer-readable storage media.
4 more elements
Dependencies are inferred from the claim text.