PREDICTION DEVICE, MATERIAL DESIGN SYSTEM, PREDICTION METHOD, AND PREDICTION PROGRAM

Abstract: to improve the development efficiency of a new material, a prediction device includes a section determination unit configured to acquire a training data set used for generating a trained prediction model, and determine a plurality of sections for classifying attribute values from a frequency distribution of the attribute values calculated between a plurality of data included in the training data set, an evaluation unit configured to determine sections to which attribute values calculated between prediction target data and the plurality of data are classified into, among the plurality of sections, and evaluate an appropriateness of the prediction target data with respect to conflicting indexes, and a display unit configured to display a predicted value predicted by the trained model in association with an evaluation result of the evaluation unit, by inputting the prediction target data to the trained model.

Inventor(s): Takuya MINAMI, Takahiro FUJIMORI, Haein LEE, Yoshishige OKUNO

CPC Classification: G06F30/27 (using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model)

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