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1. WO2022004399 - OPERATION PREDICTION DEVICE, MODEL TRAINING METHOD FOR SAME, AND OPERATION PREDICTION METHOD

Publication Number WO/2022/004399
Publication Date 06.01.2022
International Application No. PCT/JP2021/022970
International Filing Date 17.06.2021
IPC
G06Q 10/04 2012.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
G06N 3/02 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
G06N 3/08 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06F 16/9035 2019.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
903Querying
9035Filtering based on additional data, e.g. user or group profiles
G06N 20/00 2019.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
Applicants
  • オムロン株式会社 OMRON CORPORATION [JP]/[JP]
Inventors
  • 井尻 善久 IJIRI, Yoshihisa
  • 米谷 竜 YONETANI, Ryo
  • 谷合 竜典 TANIAI, Tatsunori
Agents
  • 特許業務法人秀和特許事務所 IP FIRM SHUWA
Priority Data
2020-11503502.07.2020JP
Publication Language Japanese (ja)
Filing Language Japanese (JA)
Designated States
Title
(EN) OPERATION PREDICTION DEVICE, MODEL TRAINING METHOD FOR SAME, AND OPERATION PREDICTION METHOD
(FR) DISPOSITIF DE PRÉDICTION DE FONCTIONNEMENT, PROCÉDÉ D'APPRENTISSAGE DE MODÈLE POUR CELUI-CI ET PROCÉDÉ DE PRÉDICTION DE FONCTIONNEMENT
(JA) 操作予測装置及びそのモデル学習方法、操作予測方法
Abstract
(EN) According to the present invention, a prediction model 1 has a structure comprising: a first module M1 which uses a neural network to calculate, with respect to each object xi included in a data set x, an index value vi corresponding to a combination of the object xi and attribute information a; and a second module M2 which calculates a prediction result y of an operation by a user by performing a prescribed process on a plurality of index values v1-vN obtained by the first module M1 which correspond, respectively, to a plurality of objects x1-xN.
(FR) L'invention concerne un modèle de prédiction 1 présentant une structure comprenant : un premier module M1 qui utilise un réseau neuronal pour calculer, par rapport à chaque objet xi compris dans un ensemble de données x, une valeur d'indice vi correspondant à une combinaison de l'objet xi et des informations d'attribut a ; et un second module M2 qui calcule un résultat de prédiction y d'une opération par un utilisateur en effectuant un processus prescrit sur une pluralité de valeurs d'indice v1-vN obtenues par le premier module M1 qui correspondent, respectivement, à une pluralité d'objets x1-xN.
(JA) 予測モデル1が、データセットxに含まれる各オブジェクトxについて、ニューラルネットワークを用いて、当該オブジェクトxと属性情報aの組み合わせに対応する指標値vを計算する、第1モジュールM1と、第1モジュールM1により得られた、複数のオブジェクトx~xにそれぞれ対応する複数の指標値v~vに対し所定の処理を行うことによって、ユーザによる操作の予測結果yを計算する、第2モジュールM2と、を含む構造を有する。
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