公开(公告)号：US20200242489A1

公开(公告)日：2020-07-30

申请号：US16702702

申请日：2019-12-04

Applicant: HITACHI, LTD.

Inventor： Naofumi HAMA ,  Masashi EGI ,  Yasuhide MORI

IPC: G06N5/04 ,  G06F3/14 ,  G06N20/00

Abstract: A computer system stores interpretation factor conversion information for managing an interpretation factor interpreting a basis of a prediction result for input data, the interpretation factor is determined by a value of each of a plurality of feature quantities contained in the input data including values of the plurality of feature quantities, and a first evaluation value of each of the plurality of feature quantities contained in the input data. When evaluation target data is input, the computer system calculates a prediction result, calculates a contribution value of each of the plurality feature quantities contained in the evaluation target data, specifies a corresponding interpretation factor, based on a value and a contribution value of each of the plurality of feature quantities contained in the evaluation target data, by referring to the interpretation factor conversion information, and generates and outputs display information for presenting the specified interpretation factor.

公开(公告)号：US20240308558A1

公开(公告)日：2024-09-19

申请号：US18578872

申请日：2022-04-28

Applicant: Hitachi, Ltd.

Inventor： Yuko YAMASHITA ,  Yuichi KOBAYASHI ,  Tsuyoshi MINAKAWA ,  Yasuhide MORI ,  Yumiko ISHIDO ,  Kazumasa TOKUHASHI ,  Atsushi TOYAMA ,  Hirotake YOSHIDA

IPC: B61L27/16

CPC classification number: B61L27/16

Abstract: An operation plan change assistance system includes a determination model generation unit configured to generate an operation plan change determination model that receives information about a train operation content before a certain point in time and information about a change in an operation plan executed before the point in time and outputs information about a change in operation plan to be executed next; and an operation plan change proposal creation unit configured to input information about a train operation content before a point in time designated by a user and information about a change in an operation plan executed before the designated point in time, create change candidates that are candidates for each change in an operation plan to be executed in stages after the designated point in time, specify a change candidate that satisfies a predetermined condition, and create the specified change candidate as an operation plan change proposal.

公开(公告)号：US20240046124A1

公开(公告)日：2024-02-08

申请号：US18223696

申请日：2023-07-19

Applicant: Hitachi, Ltd.

Inventor： Kohei MATSUSHITA ,  Masayoshi MASE ,  Yasuhide MORI

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: A computer system includes an arithmetic device and a storage device. The storage device stores a model configured to output an action predicted based on an action value in response to input data. The arithmetic device is configured to acquire data to be explained including values of a plurality of components to be explained in order to explain first prediction processing of the model that outputs a first predicted action in response to first input data, determine contributions of each of the plurality of components to be explained to an action value and an uncertainty of the action value in the first prediction processing, detect one or more risk components in the first prediction processing from the plurality of components to be explained based on the contributions, and present information on the risk components.

公开(公告)号：US20230351281A1

公开(公告)日：2023-11-02

申请号：US18112537

申请日：2023-02-22

Applicant: Hitachi, Ltd.

Inventor： Yuta TSUCHIYA ,  Yasuhide MORI ,  Masashi EGI

IPC: G06Q10/0631 ,  G06Q50/06

CPC classification number: G06Q10/06312 ,  G06Q10/06311 ,  G06Q50/06

Abstract: Provided is a technique that allows a user to easily determine what kind of future scenario AI is outputting. A preferred aspect of the invention provides an information processing device including: an agent configured to output a response based on a state observed from an environment with stochastic state transitions; an individual evaluation model configured to evaluate the response assuming that a part of the stochastic state transitions occurs; and a plan explanation processing unit configured to output information based on the evaluation in association with information based on the response.

公开(公告)号：US20220374801A1

公开(公告)日：2022-11-24

申请号：US17692237

申请日：2022-03-11

Applicant: Hitachi, Ltd.

Inventor： Yuta TSUCHIYA ,  Yasuhide MORI ,  Masashi EGI

IPC: G06Q10/06

Abstract: A plan evaluation apparatus, which evaluates a schedule planned by combining a plurality of plans, includes: a feature conversion unit that divides the schedule into plan components based on a predetermined conversion rule, and convert the divided plan components into features; a model learning unit that uses the features as an input and creates a machine learning model having a key performance indicator (KPI) of the schedule as an objective variable; a contribution rate calculation unit that calculates a contribution rate of each of the features with respect to the machine learning model; and an influence degree calculation unit that calculates an influence degree of influence, on the KPI of the schedule, of the plan component which is a conversion source of the feature, based on the contribution rate of the feature.

公开(公告)号：US20200034738A1

公开(公告)日：2020-01-30

申请号：US16504897

申请日：2019-07-08

Applicant: Hitachi, Ltd.

Inventor： Masashi EGI ,  Yuxin LIANG ,  Naoaki YOKOI ,  Masayoshi MASE ,  Naofumi HAMA ,  Yasuhide MORI ,  Hiroyuki NAMBA

IPC: G06N20/00 ,  G06F16/22

Abstract: There is provided is a computer system that outputs a predicted value of data to be evaluated using a predictor generated using learning data. The computer system includes the predictor; an index calculation unit that calculates an interpretation index of the data to be evaluated; and an extraction unit that selects the learning data useful for a user to interpret the predicted value of the data to be evaluated, wherein index management information for managing an interpretation index of the learning data is stored, the index calculation unit calculates the interpretation index of the data to be evaluated, and the extraction unit calculates a selection index based on the interpretation index of the data to be evaluated and the interpretation index of the learning data, selects the learning data based on the selection index, and outputs display information for presenting information indicating a processing result.