The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 22, 2011

Filed:

Mar. 13, 2008
Applicants:

Dingding Chen, Plano, TX (US);

Allan Zhong, Plano, TX (US);

Syed Hamid, Dallas, TX (US);

Stanley Stephenson, Duncan, OK (US);

Inventors:

Dingding Chen, Plano, TX (US);

Allan Zhong, Plano, TX (US);

Syed Hamid, Dallas, TX (US);

Stanley Stephenson, Duncan, OK (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06F 15/18 (2006.01); G06G 7/00 (2006.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
Abstract

Various neural-network based surrogate model construction methods are disclosed herein, along with various applications of such models. Designed for use when only a sparse amount of data is available (a 'sparse data condition'), some embodiments of the disclosed systems and methods: create a pool of neural networks trained on a first portion of a sparse data set; generate for each of various multi-objective functions a set of neural network ensembles that minimize the multi-objective function; select a local ensemble from each set of ensembles based on data not included in said first portion of said sparse data set; and combine a subset of the local ensembles to form a global ensemble. This approach enables usage of larger candidate pools, multi-stage validation, and a comprehensive performance measure that provides more robust predictions in the voids of parameter space.


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