DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND COMPUTER PROGRAM

• US 20090299933A1
• Filed: 03/27/2009
• Published: 12/03/2009
• Est. Priority Date: 05/28/2008
• Status: Active Grant

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Aoyama, Kazumi, Ito, Masato, Noda, Kuniaki
• Granted Patent: US 8,195,586 B2
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06N 3/049 Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs

Abstract

A data processing apparatus includes: predicting means for calculating a prediction value of time series data with respect to input of the time series data using a prediction model for predicting the time series data; determining means for determining a target value of the time series data on the basis of the prediction value of the time series data; error calculating means for calculating an error of the prediction value relative to the target value; and retrieving means for retrieving error reduction data as input of the time series data to the prediction model for reducing the error of the prediction value.

Claims

1. A data processing apparatus comprising:

predicting means for calculating a prediction value of time series data with respect to input of the time series data using a prediction model for predicting the time series data;

determining means for determining a target value of the time series data on the basis of the prediction value of the time series data;

error calculating means for calculating an error of the prediction value relative to the target value; and

retrieving means for retrieving error reduction data as input of the time series data to the prediction model for reducing the error of the prediction value.

2. A data processing apparatus according to claim 1, wherein the determining means determines, as the target value, a function value of a function that takes as an argument the prediction value.

3. A data processing apparatus according to claim 2, further comprising updating means for performing update of a parameter of the prediction model as learning of the prediction model using the error reduction data.

4. A data processing apparatus according to claim 2, wherein

the time series data includes action data for causing an agent that can act to act and sensor data representing a state of an environment,

the determining means determines a target value of the sensor data, and

the retrieving means retrieves, as the error reduction data, the time series data including the action data for reducing an error of the prediction value of the sensor data relative to the target value.

5. A data processing apparatus according to claim 2, wherein the prediction model is a function approximator that performs function approximation for approximating a function.

6. A data processing method comprising the steps of:

calculating a prediction value of time series data with respect to input of the time series data using a prediction model for predicting the time series data;

determining a target value of the time series data on the basis of the prediction value of the time series data;

calculating an error of the prediction value relative to the target value; and

retrieving error reduction data as input of the time series data to the prediction model for reducing the error of the prediction value.

7. A computer program for causing a computer to function as:

predicting means for calculating a prediction value of time series data with respect to input of the time series data using a prediction model for predicting the time series data;

determining means for determining a target value of the time series data on the basis of the prediction value of the time series data;

error calculating means for calculating an error of the prediction value relative to the target value; and

retrieving means for retrieving error reduction data as input of the time series data to the prediction model for reducing the error of the prediction value.

8. A data processing apparatus comprising:

a predicting unit configured to calculate a prediction value of time series data with respect to input of the time series data using a prediction model for predicting the time series data;

a determining unit configured to determine a target value of the time series data on the basis of the prediction value of the time series data;

an error calculating unit configured to calculate an error of the prediction value relative to the target value; and

a retrieving unit configured to retrieve error reduction data as input of the time series data to the prediction model for reducing the error of the prediction value.