公开(公告)号：US20200042872A1

公开(公告)日：2020-02-06

申请号：US16339934

申请日：2017-08-16

Applicant: NEC CORPORATION

Inventor： Yusuke MURAOKA ,  Ryohei FUJIMAKI ,  Zhao SONG

IPC: G06N3/08 ,  G06N7/00 ,  G06Q10/06 ,  G06F17/18

Abstract: A parameter estimation unit 81 estimates parameters of a neural network model that maximize the lower limit of a log marginal likelihood related to observation value data and hidden layer nodes. A variational probability estimation unit 82 estimates parameters of the variational probability of nodes that maximize the lower limit of the log marginal likelihood. A node deletion determination unit 83 determines nodes to be deleted on the basis of the variational probability of which the parameters have been estimated, and deletes nodes determined to correspond to the nodes to be deleted. A convergence determination unit 84 determines the convergence of the neural network model on the basis of the change in the variational probability.

公开(公告)号：US20180136076A1

公开(公告)日：2018-05-17

申请号：US15573039

申请日：2016-03-10

Applicant: NEC CORPORATION

Inventor： Yukitaka KUSUMURA ,  Sergey TARASENKO ,  Riki ETO ,  Yusuke MURAOKA ,  Ryohei FUJIMAKI

IPC: G01M3/28

CPC classification number: G01M3/28

Abstract: This invention provides a water-leakage state estimation system configured to estimate a state of a water leakage in a specific area of a water distribution network. A learning unit is configured to: receive labeled data, which is labeled so as to separate past flow rate data into abnormal values and normal values, and past environment state condition data; build a prediction model for predicting the normal values in the labeled data through learning; and determine a score parameter defining a length of a period involving data to be verified through learning as well. A water-leakage estimation unit is configured to: compare predicted flow rate data obtained by supplying current environment condition data into the prediction model and current flow rate data to produce error values; and calculate an average value of the error values in the period of a window width defined by the score parameter to estimate a water-leakage score representing a state of the water-leakage in the specific area.

公开(公告)号：US20160371596A1

公开(公告)日：2016-12-22

申请号：US15123053

申请日：2015-03-03

Applicant: NEC CORPORATION

Inventor： Yusuke MURAOKA

IPC: G06N5/04 ,  G06F17/30 ,  G06Q10/04

CPC classification number: G06N5/048 ,  G06F16/22 ,  G06F16/2465 ,  G06Q10/04

Abstract: Facilitate the procedure of evaluating a predictor.This evaluation system comprises an input receiving unit via which elements constituting an evaluation index are specified and an evaluation-index calculation unit that calculates an evaluation-index value for a data set. The evaluation index comprises an element of a first type that evaluates the sample data, an element of a second type that applies weights to the sample data, and an element of a third type that performs a statistical process on a plurality of sample data based on information outputted by the element of the first type and the element of the second type. The evaluation-index calculation unit calculates the above-mentioned evaluation-index value based on the evaluation index comprising the elements received by the input receiving unit.

Abstract translation: 该评估系统包括：输入接收单元，通过该输入接收单元指定构成评估指标的元素;以及评估指标计算单元，其计算数据集的评价指标值。 评价指标包括评估样本数据的第一类型的元素，对样本数据应用权重的第二类型的元素，以及基于多个样本数据对多个样本数据执行统计处理的第三类型的元素 由第一类型的元素和第二类型的元素输出的信息。 评估指标计算单元基于包括由输入接收单元接收的元素的评估指标来计算上述评价指标值。