17861582. METHOD FOR GENERATING MODEL USING VIRTUAL TARGET AND SYSTEM FOR THE SAME simplified abstract (Samsung Electronics Co., Ltd.)

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METHOD FOR GENERATING MODEL USING VIRTUAL TARGET AND SYSTEM FOR THE SAME

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Ji Hye Shin of Seoul (KR)

Min Kyoung Kim of Suwon-si (KR)

Jeong Min Lee of Seoul (KR)

Sang Hoon Myung of Goyang-si (KR)

Hyo Won Moon of Seoul (KR)

Sung Jin Kim of Hwaseong-si (KR)

Sung Duk Hong of Yongin-si (KR)

METHOD FOR GENERATING MODEL USING VIRTUAL TARGET AND SYSTEM FOR THE SAME - A simplified explanation of the abstract

This abstract first appeared for US patent application 17861582 titled 'METHOD FOR GENERATING MODEL USING VIRTUAL TARGET AND SYSTEM FOR THE SAME

Simplified Explanation

The abstract describes a method and system for generating a model using a virtual target. Here is a simplified explanation of the abstract:

  • The method involves using machine learning techniques on previous generation data to create a virtual target for the current generation.
  • Parameters related to the virtual target are extracted, and their values are determined based on the virtual target.
  • These determined parameter values are then used to generate a model.

Potential applications of this technology:

  • This method can be used in various fields where modeling and prediction are important, such as finance, healthcare, and manufacturing.
  • It can be applied to optimize processes, predict outcomes, or make informed decisions based on the generated models.

Problems solved by this technology:

  • The method solves the problem of generating models using a virtual target, which can be more efficient and cost-effective compared to using physical targets.
  • It also addresses the challenge of extracting relevant parameters and determining their values based on the virtual target.

Benefits of this technology:

  • The use of machine learning and virtual targets allows for more accurate and reliable model generation.
  • It reduces the need for physical targets, saving time and resources.
  • The method can adapt to changing conditions and generate updated models based on the current generation's virtual target.


Original Abstract Submitted

A method for generating a model using a virtual target, and a system configured to generate a model using a virtual target are provided. The method for generating a model using a virtual target includes performing machine learning based on previous generation data stored in a database to generate the virtual target of a current generation, and extracting parameters related to the virtual target, and determining values of the extracted parameters based on the virtual target to generate a model.

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