LEARNING MODEL DEVICE, ARITHMETIC DEVICE PRODUCTION SYSTEM, ARITHMETIC METHOD, ARITHMETIC DEVICE PRODUCTION METHOD, AND PROGRAM

• Main Authors: KUZUTANI NAOKI, NAGAO TOMOHARU
• Format: Patent
• Language: English; Japanese
• Published: 16.06.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

To configure a learning model provided with a node using binary data to be able to take relatively various output values without requiring increase in the number of layers of the node.SOLUTION: A learning model device includes a node which receives input of a binary vector and determines a binarized output value on the basis of an element other than elements of a coordinate value based on the binary vector, of elements of the coordinate value of a point of points included in a hypersurface in a real-number space having the number of dimensions one more than that of the binary vector, the point having the coordinate value including the elements of the coordinate value which is obtained when the binary vector is treated as a coordinate value in a subspace of the real-number space.SELECTED DRAWING: Figure 1 【課題】二値データを用いるノードを備える学習モデルが、ノードの層数を増やす必要なしに、比較的多様な出力値をとり得るようにする。【解決手段】学習モデル装置が、二値ベクトルの入力を受け、前記二値ベクトルの次元数よりも１次元多い次元数の実数空間における超曲面に含まれる点のうち、前記二値ベクトルを前記実数空間の部分空間における座標値として扱った場合のその座標値の各要素を含む座標値を有する点の前記座標値の要素のうち、前記二値ベクトルによる座標値の要素以外の要素に基づいて、二値化された出力値を決定するノードを備える。【選択図】図１