Bridge Model Generation for Simulation Parameter Calculation

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Solution Overview

Problem

The process of acquiring appropriate parameter values for simulators is lengthy due to the complexity of simulating analysis targets, making it time-consuming for accurate simulation and analysis.

Innovation Solution

A model generation device and method that generates a bridge model to relate parameter values of a simulation model to machine learning model outputs, allowing for quicker acquisition of parameter values for simulating analysis targets.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional simulation methods are used to acquire parameter values for analyzing analysis targets, then accurate simulation results can be obtained, but the processing time becomes excessively long

Engineering Contradiction:

Improveaccuracy of simulation resultsVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent introduces a bridge model as an intermediary between the simulator and machine learning model. This bridge model learns the mapping relationship between simulator inputs and machine learning inputs, enabling direct calculation of parameter values without time-consuming traditional simulation processes, thus resolving the contradiction between accuracy and processing time

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates a bridge model that copies or replicates the essential input-output relationships of the traditional simulation system. By training this bridge model on simulation data, it can generate accurate parameter values quickly without executing the full simulation process, thereby reducing processing time while maintaining accuracy

Inventive Principle:

Principle #26Copying

2Reliability

If traditional simulation processes are used to acquire parameter values, then meaningful parameter data can be obtained for analysis, but the complexity of the process increases

Engineering Contradiction:

Improveusefulness of parameter data for analysisVSAvoidcomplexity of parameter acquisition process

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The bridge model serves as an intermediary that simplifies the complex parameter acquisition process. Instead of navigating through multiple simulation steps, the bridge model directly maps simulator inputs to meaningful parameter values, reducing process complexity while maintaining reliability

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The bridge model is trained in advance on simulation data to learn the relationships between inputs and meaningful parameters. This preliminary action allows the system to quickly generate reliable parameter values without repeating complex simulation processes each time analysis is needed

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20220237349A1Model generation device, system, parameter calculation device, model generation method, parameter calculation method, and recording medium

Publication Date: 2022.07.28 NEC CORP

AI summary

A model generation device includes: a model generation means for generating a second model indicating a relationship between a parameter included in a first model and a sample, the first model indicating a relationship between the sample and a label of the sample.