# US 2019/0377982 A1 · Processing method, system, program, and storage medium for generating learning data, and learning data generation method and system > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0377982 A1 - Document ID: US20190377982A1 - Status: Published application - Kind: A1 - Application number: 16/548,885 - Filed: 2019-08-23 - Published: 2019-12-12 - Earliest claimed: 2017-02-24 - Assignees: OMRON Corporation - Applicants: OMRON Corporation - Inventors: Tanichi ANDO - Web page: https://patentgrep.com/patent/US20190377982A1 ## CPC - G06N 3/082: modifying the architecture, e.g. adding, deleting or silencing nodes or connections - G06F 18/2148: {characterised by the process organisation or structure, e.g. boosting cascade} - G06F 18/2163: {Partitioning the feature space} - G06F 18/24765: {Rule-based classification} - G06F 18/285: {Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system} - G06N 3/0464: Convolutional networks [CNN, ConvNet] - G06N 3/09: Supervised learning - G06N 20/00: Machine learning - G06N 20/10: using kernel methods, e.g. support vector machines [SVM] - G06V 10/7747: {Organisation of the process, e.g. bagging or boosting} - G06N 3/044: Recurrent networks, e.g. Hopfield networks - G06N 3/045: Combinations of networks - G06N 3/047: Probabilistic or stochastic networks - G06N 3/048: Activation functions - G06N 3/088: Non-supervised learning, e.g. competitive learning - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract The disclosure relates to a processing method for generating learning data, which may include: specifying requirement information for generating learning data, based on request information for making a request for learning; and transmitting the requirement information to a device that generates the learning data. The disclosure also relates to a system and a program that realize the method, and a storage medium that stores the program. ## Claims ### Claim 1 A learning data generation method comprising: receiving request information for making a request for learning; transmitting the request information to a device that provides requirement information for generating learning data; receiving the requirement information from the device; and generating the learning data based on the requirement information. ### Claim 2 (depends on 1) The method according to claim 1, wherein the request information comprises information regarding a learning subject comprising a subject of learning to be performed based on the learning data, and information regarding a goal of learning indicating a processing ability to be acquired for the learning subject. ### Claim 3 (depends on 2) The method according to claim 2, wherein the generating the learning data based on the requirement information comprises: specifying at least one of a type and the number of learning data, based on the requirement information corresponding to the information regarding the goal of learning; and generating data regarding the type and/or the number as part of the learning data. ### Claim 4 (depends on 2) The method according to claim 2, wherein the generating the learning data based on the requirement information comprises: forming the learning subject and/or an operation subject to be subjected to data acquisition and/or operation for the learning subject, based on the requirement information corresponding to information regarding the learning subject; and generating data based on the formation, as at least part of the learning data. ### Claim 5 (depends on 2) The method according to claim 2, wherein the generating the learning data based on the requirement information comprises: setting a state of the learning subject based on the requirement information corresponding to information regarding at least one state of the learning subject; and generating data for each state of the learning subject as at least part of the learning data. ### Claim 6 (depends on 2) The method according to claim 2, wherein the generating the learning data based on the requirement information further comprises: storing the generated learning data in association with teaching data that reflects the processing ability. ### Claim 7 (depends on 1) The method according to claim 1, further comprising: receiving a learning result acquired by performing learning based on the learning data; and performing subject analysis by utilizing the learning result. ### Claim 8 A processing system that generates learning data, comprising a processor configured with a program to perform operations comprising: operation as a request information receiving unit configured to receive request information for making a request for learning; operation as a request information transmitting unit configured to transmit the request information to a device configured to provide requirement information for generating learning data; operation as a requirement information receiving unit configured to receive the requirement information from the device; and operation as a learning data generation unit configured to generate the learning data based on the requirement information. ### Claim 9 (depends on 8) The processing system according to claim 8, wherein the request information comprises information regarding a learning subject comprising a subject of learning to be performed based on the learning data, and information regarding a goal of learning indicating a processing ability to be acquired for the learning subject. ### Claim 10 (depends on 9) The processing system according to claim 9, wherein the processor is configured with the program to perform operations such that operation as the learning data generation unit comprises operation as the learning data generation unit configured to specify at least one of a type and the number of learning data, based on the requirement information corresponding to the information regarding the goal of learning, and generate data regarding the type and/or the number as part of the learning data. ### Claim 11 (depends on 9) The processing system according to claim 9, wherein the processor is configured with the program to perform operations such that operation as the learning data generation unit comprises operation as the learning data generation unit configured to form the learning subject and/or an operation subject to be subjected to data acquisition and/or operation for the learning subject, based on the requirement information corresponding to information regarding the learning subject, and generate data based on the formation, as at least part of the learning data. ### Claim 12 (depends on 9) The processing system according to claim 9, wherein the processor is configured with the program to perform operations such that operation as the learning data generation unit comprises operation as the learning data generation unit configured to set a state of the learning subject based on the requirement information corresponding to information regarding at least one state of the learning subject, and generate data for each state of the learning subject as at least part of the learning data. ### Claim 13 (depends on 9) The processing system according to claim 9, wherein the processor is configured with the program to perform operations further comprising: operation as a learning data storage unit configured to store the generated learning data in association with teaching data that reflects the processing ability. ### Claim 14 (depends on 8) The processing system according to claim 8, wherein the processor is configured with the program to perform operations further comprising: operation as a learning result receiving unit configured to receive a learning result acquired by performing learning based on the learning data; and operation as a learning result utilizing unit configured to perform subject analysis by utilizing the learning result.