MACHINE LEARNING SYSTEM, TEXTURE EVALUATION MODEL, TEXTURE EVALUATION APPARATUS, MACHINE LEARNING METHOD, AND TEXTURE EVALUATION METHOD

To provide a highly versatile texture evaluation technique.SOLUTION: A machine learning system for learning a texture evaluation model for evaluating texture of food, includes a pressing device 2 for pressing a sample 5, an image acquisition section for acquiring a pressure distribution image indica...

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Bibliographische Detailangaben
Hauptverfasser:	CHUMA MAKOTO, HIGASHIMORI MITSURU, IKEGAMI SATOSHI
Format:	Patent
Sprache:	eng ; jpn
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS TESTING
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Beschreibung
Zusammenfassung:	To provide a highly versatile texture evaluation technique.SOLUTION: A machine learning system for learning a texture evaluation model for evaluating texture of food, includes a pressing device 2 for pressing a sample 5, an image acquisition section for acquiring a pressure distribution image indicating distribution of the pressure by the sample 5 when the sample 5 is pressed, and a learning section for learning the texture evaluation model on the basis of the pressure distribution image.SELECTED DRAWING: Figure 1 【課題】汎用性の高い食感評価技術を提供する。【解決手段】食品の食感を評価するための食感評価モデルを学習する機械学習システムであって、試料５を押圧する押圧装置２と、試料５の押圧時に試料５から受ける圧力分布を示す圧力分布画像を取得する画像取得部と、前記圧力分布画像に基づいて前記食感評価モデルを学習する学習部と、を備える機械学習システム。【選択図】図１