INPUT PARAMETER CALCULATION METHOD AND APPARATUS

• US 20120203520A1
• Filed: 12/01/2011
• Published: 08/09/2012
• Est. Priority Date: 02/03/2011
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: MATSUMOTO, Kazuhiro
• Application Number:
  US13/308,915
• Publication Number:
  US 20120203520A1
• Time in Patent Office: Days
• US Class Current: 703/2
• CPC Class Codes: G06F 18/2411 based on the proximity to a decision surface, e.g. support vector machines

Abstract

This method includes calculating a support vector and first regression coefficient values by carrying out a regression calculation of a support vector machine for values of input variables and first values of an output variable; and calculating values of input parameters, which are to be used for a simulation, so as to minimize an error calculated from the first regression coefficient values and second regression coefficient values. The second regression coefficient values are obtained by the regression calculation of the support vector machine using the calculated support vector for second values of the output variable and the values of the input variables. The second values of the output variable are obtained from the simulation for the values of the input variables.

Claims

1. A computer-readable, non-transitory storage medium storing a program for causing a computer to execute a procedure, the procedure comprising:

calculating a support vector and first regression coefficient values by carrying out a regression calculation of a support vector machine for values of input variables and first values of an output variable; and

calculating values of input parameters, which are to be used for a simulation, so as to minimize an error calculated from the first regression coefficient values and second regression coefficient values, wherein the second regression coefficient values are obtained by the regression calculation of the support vector machine using the calculated support vector for second values of the output variable and the values of the input variables, and the second values of the output variable are obtained from the simulation for the values of the input variables.

4. The computer-readable, non-transitory storage medium as set forth in claim 1, wherein the first regression coefficient values include a first functional coefficient value for a first exponential function and a first width coefficient value for a width of the first exponential function, and the second regression coefficient values include a second functional coefficient value for a second exponential function and a second width coefficient value for a width of the second exponential function, and the error is calculated by summing an error with respect to the first functional coefficient value and the second functional coefficient value and an error with respect to the first width coefficient value and the second width coefficient value.

2. A computer-readable, non-transitory storage medium storing a program for causing a computer to execute a procedure, the procedure comprising:

calculating a first approximate expression by carrying out a regression calculation of a support vector machine for first values of input variables and first values of an output variable;

calculating second values of the output variable by substituting second values of the input variables into the first approximate expression; and

calculating values of input parameters, which are to be used for a simulation, so as to minimize an error calculated from the second values of the output variable and third values of the output variable, wherein the third values are obtained by substituting the second values of the input variables into a second approximate expression, and the second approximate expression is obtained by the regression calculation of the support vector machine for the first values of the input variables and fourth values of the output variable, which are obtained from the simulation for the first values of the input variables.

3. A computer-readable, non-transitory storage medium storing a program for causing a computer to execute a procedure, the procedure comprising:

calculating a first approximate expression by carrying out a regression calculation of a support vector machine for first values of input variables and first values of an output variable; and

calculating values of input parameters, which are to be used for a simulation, while randomly changing second values of the input variables so as to minimize an error calculated from second values of the output variable and third values of the output variable, wherein the second values of the output variable are obtained by substituting the second values of the input variables into an second approximate expression calculated by the regression calculation of the support vector machine for the first values of the input variables and fourth values of the output variable, and the fourth values of the output variable are obtained from the simulation for the first values of the input variables, and the third values of the output variable are calculated by substituting the second values of the input variables into the first approximate expression.

5. A method for calculating values of input parameters, the method comprising:

calculating, by using a computer, a support vector and first regression coefficient values by carrying out a regression calculation of a support vector machine for values of input variables and first values of an output variable; and

calculating, by using the computer, the values of the input parameters, which are to be used for a simulation, so as to minimize an error calculated from the first regression coefficient values and second regression coefficient values, wherein the second regression coefficient values are obtained by the regression calculation of the support vector machine using the calculated support vector for second values of the output variable and the values of the input variables, and the second values of the output variable are obtained from the simulation for the values of the input variables.

6. A method for calculating values of input parameters, the method comprising:

calculating, by using a computer, a first approximate expression by carrying out a regression calculation of a support vector machine for first values of input variables and first values of an output variable;

calculating, by using the computer, second values of the output variable by substituting second values of the input variables into the first approximate expression; and

calculating, by using the computer, the values of the input parameters, which are to be used for a simulation, so as to minimize an error calculated from the second values of the output variable and third values of the output variable, wherein the third values are obtained by substituting the second values of the input variables into a second approximate expression, and the second approximate expression is obtained by the regression calculation of the support vector machine for the first values of the input variables and fourth values of the output variable, which are obtained from the simulation for the first values of the input variables.

7. A method for calculating values of input parameters, the method comprising:

calculating, by using a computer, a first approximate expression by carrying out a regression calculation of a support vector machine for first values of input variables and first values of an output variable; and

calculating, by using the computer, the values of the input parameters, which are to be used for a simulation, while randomly changing second values of the input variables so as to minimize an error calculated from second values of the output variable and third values of the output variable, wherein the second values of the output variable are obtained by substituting the second values of the input variables into an second approximate expression calculated by the regression calculation of the support vector for the first values of the input variables and fourth values of the output variable, and the fourth values of the output variable are obtained from the simulation for the first values of the input variables, and the third values of the output variable are calculated by substituting the second values of the input variables into the first approximate expression.

8. An apparatus for calculating values of input parameters, the apparatus comprising:

a storage unit storing values of input variables and first values of an output variable; and

a processor configured to execute a procedure, comprising;

calculating a support vector and first regression coefficient values by carrying out a regression calculation of a support vector machine for the values of the input variables and the first values of the output variable, which are stored in the storage unit; and

calculating the values of the input parameters, which are to be used for a simulation, so as to minimize an error calculated from the first regression coefficient values and second regression coefficient values, wherein the second regression coefficient values are obtained by the regression calculation of the support vector machine using the calculated support vector for second values of the output variable and the values of the input variables, and the second values of the output variable are obtained from the simulation for the values of the input variables.

9. An apparatus for calculating values of input parameters, the apparatus comprising:

a storage unit storing first values of input variables and first values of an output variable; and

a processor configured to execute a procedure, comprising;

calculating a first approximate expression by carrying out a regression calculation of a support vector machine for the first values of the input variables and the first values of the output variable, which are stored in the storage unit;

calculating second values of the output variable by substituting second values of the input variables into the first approximate expression; and

calculating the values of the input parameters, which are to be used for a simulation, so as to minimize an error calculated from the second values of the output variable and third values of the output variable, wherein the third values are obtained by substituting the second values of the input variables into a second approximate expression, and the second approximate expression is obtained by the regression calculation of the support vector machine for the first values of the input variables and fourth values of the output variable, which are obtained from the simulation for the first values of the input variables.

10. An apparatus for calculating values of input parameters, the apparatus comprising:

a storage unit storing first values of input variables and first values of an output variable;

a processor configured to execute a procedure, comprising;

calculating a first approximate expression by carrying out a regression calculation of a support vector machine for the first values of the input variables and the first values of the output variable, which are stored in the storage unit; and

calculating the values of the input parameters, which are to be used for a simulation, while randomly changing second values of the input variables so as to minimize an error calculated from second values of the output variable and third values of the output variable, wherein the second values of the output variable are obtained by substituting the second values of the input variables into an second approximate expression calculated by the regression calculation of the support vector for the first values of the input variables and fourth values of the output variable, and the fourth values of the output variable are obtained from the simulation for the first values of the input variables, and the third values of the output variable are calculated by substituting the second values of the input variables into the first approximate expression.