Composition amount determining method and device for functional mixture
First Claim
1. A method for determining a composition amount of each of N constituent components when a functional mixture including the N constituent components is to be prepared, the method comprising the steps of:
- (1) determining a correlation matrix R having as elements correlation coefficients between composition amounts c1, c2, c3, . . . , cN of the N constituent components of each of M functional mixtures C, each functional mixture C being known in advance to have required functionality, and M being greater than N;
(2) calculating a Mahalanobis distance D2 or D for all of composition amounts u1, u2, u3, . . . , uN of the N constituent components of a functional mixture U, it being unknown whether or not the functional mixture U has the required functionality; and
(3) varying the composition amount of at least one of the constituent components of the functional mixture U such that the Mahalanobis distance is reduced, and determining as a composition amount of the at least one constituent component in the functional mixture to be prepared the composition amount at which the Mahalanobis distance is reduced, wherein D2=UR−
1UT, UT representing the transposed matrix of a matrix U, the matrix U being (u1, u2, u3, . . . , uN), and each composition amount ck of each of the M functional mixtures C and each composition amount uk of the functional mixture U being transformed such that, for each of the N constituent components, the average of the composition amounts of the constituent component in the M functional mixtures C and the functional mixture U is 0 and the standard deviation thereof is 1.0.
2 Assignments
0 Petitions
Accused Products
Abstract
A device and a method for determining amounts of each of composition constituents necessary for giving a functional mixture functionality, without actual creation of the functional mixture, by varying the amounts in accordance with correlation coefficients between each of the composition constituents of previously obtained functional mixtures. The Mahalanobis distance for the amounts of N composition constituents, the Mahalanobis distance for the amounts of N-1 composition constituents from which one of the constituents is excluded, and the difference therebetween are calculated. The amount of composition constituent whose exclusion corresponds to the largest such difference is varied and the Mahalanobis distance is calculated again. Amounts of composition constituents for which the Mahalanobis distance is a minimum are selected as the amounts of the composition constituents for the functional mixture.
7 Citations
14 Claims
-
1. A method for determining a composition amount of each of N constituent components when a functional mixture including the N constituent components is to be prepared, the method comprising the steps of:
-
(1) determining a correlation matrix R having as elements correlation coefficients between composition amounts c1, c2, c3, . . . , cN of the N constituent components of each of M functional mixtures C, each functional mixture C being known in advance to have required functionality, and M being greater than N;
(2) calculating a Mahalanobis distance D2 or D for all of composition amounts u1, u2, u3, . . . , uN of the N constituent components of a functional mixture U, it being unknown whether or not the functional mixture U has the required functionality; and
(3) varying the composition amount of at least one of the constituent components of the functional mixture U such that the Mahalanobis distance is reduced, and determining as a composition amount of the at least one constituent component in the functional mixture to be prepared the composition amount at which the Mahalanobis distance is reduced, wherein D2=UR−
1UT, UT representing the transposed matrix of a matrix U, the matrix U being (u1, u2, u3, . . . , uN), and each composition amount ck of each of the M functional mixtures C and each composition amount uk of the functional mixture U being transformed such that, for each of the N constituent components, the average of the composition amounts of the constituent component in the M functional mixtures C and the functional mixture U is 0 and the standard deviation thereof is 1.0. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. A device for determining a composition amount of each of N constituent components when a functional mixture including the N constituent components is to be prepared, the device comprising:
-
a storage component which stores at least one of a correlation matrix R having as elements the correlation coefficients between composition amounts c1, c2, c3. . . , cN of the N constituent components of each of M functional mixtures C and the inverse matrix of the correlation matrix R, each functional mixture C being known in advance to have required functionality, and M being greater than N;
a calculation component which calculates a Mahalanobis distance D2 or D for all of composition amounts u1, u2, u3, . . . , uN of the N constituent components of a functional mixture U, it being unknown whether or not the functional mixture U has the required functionality; and
a determining component which varies the composition amount of at least one of the constituent components of the functional mixture U such that the Mahalanobis distance is reduced, and determining as a composition amount of the at least one constituent component in the functional mixture to be prepared the composition amount at which the Mahalanobis distance is reduced, wherein D2=UR−
1UT, UT representing the transposed matrix of a matrix U, the matrix U being (u1, u2, u3, . . . , uN), and each composition amount ck of each of the M functional mixtures C and each composition amount uk of the functional mixture U being transformed such that, for each of the N constituent components, the average of the composition amounts of the constituent component in the M functional mixtures C and the functional mixture U is 0 and the standard deviation thereof is 1.0. - View Dependent Claims (9, 10, 11, 12, 13, 14)
-
Specification