Information processing apparatus, information processing method, and non-transitory computer readable medium

Patent metadata

Field	Value
Publication number	US-11868431-B2
Application number	US-202117197377-A
Country	US
Kind code	B2
Filing date	Mar 10, 2021
Priority date	Sep 7, 2020
Publication date	Jan 9, 2024
Grant date	Jan 9, 2024

Abstract

According to one embodiment, an information processing apparatus includes: a processor configured to select a first case based on subject data including at least one feature, and acquire a first prediction value that is a value of an objective variable included in the first case; a first estimator configured to estimate frequency data indicating frequencies of observation values of the objective variable, based on a history of observation values of the objective variable; a second estimator configured to estimate first frequency data indicating frequencies of first prediction values, based on a history of first prediction values acquired before the first prediction value is acquired; and a corrector configured to correct the first prediction value acquired by the processor, based on the frequency data and the first frequency data.

First claim

The invention claimed is:

1. An information processing apparatus, comprising:
a processor configured to select a first case from among a plurality of cases, each of which includes a pair of: first data including at least one feature at a time; and a value of an objective variable after a predetermined time from the time, based on subject data including at least one feature at a current time, and acquire a first prediction value that is the value of the objective variable included in the first case, wherein the at least one feature in the first data of each case and the at least one feature in the subject data each includes at least one meteorological variable, and the objective variable indicates a weather state;
a first estimator configured to estimate frequency data indicating frequencies of observation values of the objective variable, based on a history of observation values of the objective variable, the frequency data being a cumulative distribution function, a probability density distribution, or a histogram;
a second estimator configured to estimate first frequency data indicating frequencies of first prediction values, based on a history of first prediction values acquired before the first prediction value is acquired, the first frequency data being a cumulative distribution function, a probability density distribution, or a histogram; and
a corrector configured to correct the first prediction value acquired by the processor, based on the frequency data and the first frequency data to obtain a predicted value of the weather state after the predetermined time from the current time,
wherein
the processor is configured to further select second to k-th cases, and acquire second to k-th prediction values that are values of the objective variable included in the second to k-th cases, respectively,
the second estimator is configured to estimate second to k-th frequency data indicating frequencies of the second to k-th prediction values, based on histories of the second to k-th prediction values, and
the corrector is configured to correct the second to k-th prediction values acquired by the processor, based on the frequency data and the second to k-th frequency data, respectively.

2. The information processing apparatus according to- claim 1 , wherein the processor is configured to select the first case, based on a distance between the subject data and the first data included in each of the plurality of cases.

3. The information processing apparatus according to- claim 1 , wherein
the first to k-th cases have rankings according to a distance between the first data included in each of the first to k-th cases and the subject data.

4. The information processing apparatus according to claim 1 , further comprising a feature generator configured to generate the at least one feature, based on at least one state amount, by performing numerical calculation based on a numerical calculation model.

5. The information processing apparatus according to claim 1 , wherein the frequency data includes a cumulative distribution function for observation values of the objective variable.

6. The information processing apparatus according to claim 1 , wherein the first frequency data includes a cumulative distribution function for the first prediction values.

7. An information processing apparatus comprising:
a processor configured to select a first case from among a plurality of cases, each of which includes a pair of: first data including at least one feature at a time; and a value of an objective variable after a predetermined time from the time, based on subject data including at least one feature at a current time, and acquire a first prediction value that is the value of the objective variable included in the first case, wherein the at least one feature in the first data of each case and the at least one feature in the subject data each includes at least one meteorological variable, and the objective variable indicates a weather state;
a first estimator configured to estimate frequency data indicating frequencies of observation values of the objective variable, based on a history of observation values of the objective variable, the frequency data being a cumulative distribution function, a probability density distribution, or a histogram;
a second estimator configured to estimate first frequency data indicating frequencies of first prediction values, based on a history of first prediction values acquired before the first prediction value is acquired, the first frequency data being a cumulative distribution function, a probability density distribution, or a histogram; and
a corrector configured to correct the first prediction value acquired by the processor, based on the frequency data and the first frequency data to obtain a predicted value of the weather state after the predetermined time from the current time,
wherein the corrector is configured to
calculate a frequency corresponding to the first prediction value acquired by the processor, based on the first frequency data;
calculate an observation value corresponding to the calculated frequency, on the frequency data; and
correct the first prediction value, based on the calculated observation value.

8. The information processing apparatus according to claim 7 , wherein the corrector is configured to correct the first prediction value to a value that is equal to the calculated observation value.

9. The information processing apparatus according to claim 7 , further comprising an objective variable acquirer configured to acquire an observation value of the objective variable, from an observation device that observes the objective variable,
wherein the corrector is configured to
calculate a coefficient, based on a difference between the first prediction value acquired by the processor and the acquired observation value; and
correct the first prediction value by adding, to the first prediction value, a value obtained by multiplying the difference by the coefficient.

10. The information processing apparatus according to claim 9 , wherein the corrector is configured to calculate a performance evaluation index, based on the difference between the first prediction value acquired by the processor and the acquired observation value, and determine the coefficient, based on the performance evaluation index.

11. An information processing apparatus, comprising:
a processor configured to select a first case from among a plurality of cases, each of which includes a pair of: first data including at least one feature at a time; and a value of an objective variable after a predetermined time from the time, based on subject data including at least one feature at a current time, and acquire a first prediction value that is the value of the objective variable included in the first case, wherein the at least one feature in the first data of each case and the at least one feature in the subject data each includes at least one meteorological variable, and the objective variable indicates a weather state;
a first estimator configured to estimate frequency data indicating frequencies of observation values of the objective variable, based on a history of observation values of the objective variable, the frequency data being a cumulative distribution function, a probability density distribution, or a histogram;
a second estimator configured to estimate first frequency data indicating frequencies of first prediction values, based on a history of first prediction values acquired before the first prediction value is acquired, the first frequency data being a cumulative distribution function, a probability density distribution, or a histogram; and
a corrector configured to c

Assignees

• Toshiba Kk

Inventors

• Kakimoto Mitsuru
• Shin Hiromasa
• Shiga Yoshiaki
• Ni Fang

Classifications

• G06F18/2132 Primary

  based on discrimination criteria, e.g. discriminant analysis · CPC title

• G01W1/10 Primary

  Devices for predicting weather conditions (computers per se G06; display devices G09) · CPC title

• G05B13/042

  in which a parameter or coefficient is automatically adjusted to optimise the performance · CPC title

• G05B13/048

  using a predictor · CPC title