20240047018. INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (Resonac Corporation)

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INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

Organization Name

Resonac Corporation

Inventor(s)

Kyohei Hanaoka of Minato-ku, Tokyo (JP)

INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240047018 titled 'INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

Simplified Explanation

The patent application describes an information processing system that utilizes machine learning to predict the characteristics of a composite object obtained by combining multiple component objects. Here is a simplified explanation of the abstract:

  • The system includes at least one processor.
  • The processor acquires a numerical representation and a combination ratio for each of a plurality of component objects.
  • Machine learning is executed using the numerical representations to calculate regression parameters corresponding to the component objects.
  • The combination ratios are applied to a regression model defined by the regression parameters.
  • A predicted value is calculated, indicating the characteristics of the composite object obtained by combining the component objects.

Potential Applications:

  • This technology can be applied in various fields where the characteristics of composite objects need to be predicted, such as product design, manufacturing, and materials science.
  • It can be used in the development of new materials or products by predicting their properties based on the combination of different components.

Problems Solved:

  • Traditional methods of predicting the characteristics of composite objects may be time-consuming and require extensive experimentation.
  • This technology solves the problem of efficiently predicting the characteristics of composite objects by utilizing machine learning and numerical representations.

Benefits:

  • The information processing system provides a faster and more efficient way to predict the characteristics of composite objects.
  • It reduces the need for extensive experimentation and can save time and resources in the development process.
  • The technology enables better decision-making in product design and manufacturing by accurately predicting the properties of composite objects.


Original Abstract Submitted

an information processing system according to an embodiment includes at least one processor. the at least one processor is configured to acquire a numerical representation and a combination ratio for each of a plurality of component objects, execute machine learning based on a plurality of the numerical representations to calculate a plurality of regression parameters corresponding to the plurality of component objects, and apply a plurality of the combination ratios to a regression model defined by the plurality of regression parameters to calculate a predicted value indicating characteristics of a composite object obtained by combining plurality of component objects.

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