PERFORMANCE IMPROVING MEASURE PRESENTATION SYSTEM AND PERFORMANCE IMPROVING MEASURE PRESENTATION METHOD

To provide a performance improving measure presentation system that can present a performance prediction reason and a performance improving measure of a designed product.SOLUTION: A performance improving measure presentation system 100 comprises: a learning data part 110 that has a design parameter...

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Hauptverfasser: FURUKAWA TAKUMU, YANASE HIDEO, NAKADA MITSURU, TOZAKI NOBUYUKI, KATAOKA ICHIRO
Format: Patent
Sprache:eng ; jpn
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Zusammenfassung:To provide a performance improving measure presentation system that can present a performance prediction reason and a performance improving measure of a designed product.SOLUTION: A performance improving measure presentation system 100 comprises: a learning data part 110 that has a design parameter which includes an actual value of structural design performed for an object being a target of structural design in the past and an analytic value being a structural performance index of the object executed by structural analysis on the basis of the design parameter as learning data of machine learning; and a program part 120 that predicts the structural performance index of the object from the design parameter input by a design change using a prediction model which is obtained by performing machine learning of the design parameter and analytic value read from the learning data part 110, calculates an interpretation possibility representing explain-ability of a result contributing to the structural performance index predicted by the prediction model, and presents a performance improving measure for improving performance of the object obtained from the interpretation possibility together with the structural performance index predicted by the prediction model.SELECTED DRAWING: Figure 1 【課題】設計される製品の性能予測の根拠と、性能向上策を提示することが可能な性能向上策提示システムを提供する。【解決手段】性能向上策提示システム100は、構造設計の対象である対象物に対して過去に行われた構造設計の実績値を含む設計パラメータと、設計パラメータに基づいて構造解析が行われた対象物の構造性能の指標である解析値とを、機械学習の学習用データとして持つ学習用データ部110と、学習用データ部110から読み出した設計パラメータ及び解析値を機械学習して得られる予測モデルを用いて、設計変更により入力された設計パラメータから対象物の構造性能の指標を予測し、予測モデルが予測した構造性能の指標に寄与する結果の説明性を表す解釈可能性を計算し、解釈可能性から求めた、対象物の性能を向上するための性能向上策を、予測モデルが予測した構造性能の指標と共に提示するプログラム部120と、を備える。【選択図】図1