APPARATUS FOR MACHINE LEARNING

To provide a technology capable of predicting a deformation of a three-dimensional-formed body during making up.SOLUTION: An apparatus for machine learning comprises: a data acquiring section that acquires first data including shape data representative of a target shape of a three-dimensional-formed...

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Bibliographische Detailangaben
1. Verfasser:	SUMIYA AKIHIKO
Format:	Patent
Sprache:	eng ; jpn
Schlagworte:	ADDITIVE MANUFACTURING TECHNOLOGY ADDITIVE MANUFACTURING, i.e. MANUFACTURING OFTHREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVEAGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING,STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING CALCULATING CASTING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MAKING METALLIC POWDER MANUFACTURE OF ARTICLES FROM METALLIC POWDER PERFORMING OPERATIONS PHYSICS POWDER METALLURGY SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS, SLAG, OR MIXTURESCONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDEDFOR SHAPING OR JOINING OF PLASTICS TRANSPORTING WORKING CEMENT, CLAY, OR STONE WORKING METALLIC POWDER WORKING OF PLASTICS WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL
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Beschreibung
Zusammenfassung:	To provide a technology capable of predicting a deformation of a three-dimensional-formed body during making up.SOLUTION: An apparatus for machine learning comprises: a data acquiring section that acquires first data including shape data representative of a target shape of a three-dimensional-formed body and additional shape data representative of a target shape of an additional portion to be added to the three-dimensional-formed body in order to inhibit a deformation of the three-dimensional-formed body in making up and second data related to a deformation of the three-dimensional-formed body; a storage unit that stores a learning data set including a plurality of first data and a plurality of second data; and a learning section that learns a relationship between the first data and the second data by executing machine learning using the learning data set.SELECTED DRAWING: Figure 12 【課題】製造時における三次元造形物の変形を予測可能な技術を提供する。【解決手段】機械学習装置は、三次元造形物の目標形状を表す形状データと、製造中における三次元造形物の変形を抑制するために三次元造形物に追加される追加部分の目標形状を表す追加形状データとを含む第１データと、三次元造形物の変形に関する第２データとを取得するデータ取得部と、複数の第１データと複数の第２データとを含む学習データセットを記憶する記憶部と、学習データセットを用いた機械学習を実行することによって、第１データと第２データとの関係を学習する学習部と、を備える。【選択図】図１２