To provide a product design support system, a product design support method, and a product design support program that easily narrow down optimal specifications using a classification model generated by learning.SOLUTION: A product design support system 1 includes a data storage unit 20 and an optimal specification search unit 30 which are implemented by a processing apparatus executing a program stored in a storage apparatus, the product design support system being configured to: acquire a specification dataset, using a classification model 22 generated by learning with training data in which a plurality of specification items are associated with one of multiple classes, the specification items each including specification data, the specification dataset for which values of fixed items are the same between multiple pieces of specification data and values of variable items are different by specification data; input the specification items of each of the multiple pieces of specification data to the classification model; classify each of the multiple pieces of specification data into one of the multiple classes; and calculate, based on results of the classification, a robustness evaluation value that indicates a higher value as the amount of specification data belonging to the class is higher, for the specification dataset.SELECTED DRAWING: Figure 2
【課題】学習による分類モデルを用いて最適な仕様を容易に絞り込む製品設計支援システム、製品設計支援方法及び製品設計支援プログラムを提供する。【解決手段】製品設計支援システム1において、処理装置が記憶装置に格納されているプログラムを実行することで実現される、データ記憶部20及び最適仕様探索部30は、複数の仕様項目と複数のクラスの何れかとが対応づけられた教師データを利用した学習により生成された分類モデル22を用い、仕様項目が夫々が仕様データを含み、固定項目の値が複数の仕様データ間で共通で、変動項目の値が仕様データ毎に異なる仕様データセットを取得し、複数の仕様データの夫々が有する仕様項目を分類モデルに入力し、複数の仕様データの夫々が複数のクラスの何れに属するか分類し、分類した結果に基づいて、仕様データセットについて、クラスに属する仕様データが多いほど高い値を示すロバスト評価値を算出する。【選択図】図2
PRODUCT DESIGN SUPPORT SYSTEM, PRODUCT DESIGN SUPPORT METHOD, AND PRODUCT DESIGN SUPPORT PROGRAM
製品設計支援システム、製品設計支援方法及び製品設計支援プログラム
2024-04-18
Patent
Electronic Resource
Japanese
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