SYMMETRIC RANDOM SCATTER PROCESS FOR PROBABILISTIC MODELING SYSTEM FOR PRODUCT DESIGN

Patent №

US 7,877,239

Granted

2011-01-25

Filed 2006

Owner

CATERPILLAR INC.

Lab

AI components

5

ml · vision · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11477515

A method is provided for designing a product. The method may include obtaining data records relating to one or more input variables and one or more output parameters associated with the product and selecting one or more input parameters from the one or more input variables. The method may also include generating a computational model indicative of interrelationships between the one or more input parameters and the one or more output parameters based on the data records and providing a set of constraints to the computational model representative of a compliance state for the product. Further the method may include using the computational model and the provided set of constraints to generate statistical distributions for the one or more input parameters based on a symmetric random scatter process and the one or more output parameters. The one or more input parameters and the one or more output parameters represent a design for the product.

AI classification

Planning1.00
Machine learning1.00
Knowledge representation1.00
Evolutionary computation0.99
Vision0.87
AI hardware0.32
Speech0.00
Natural language0.00

Ownership

CATERPILLAR INC.

assignment · 180710111

Assignors

GRICHNIK, ANTHONY J., SESKIN, MICHAEL

On an employer assignment, the assignors are typically the inventors.

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