Patent · US Expired

Identify data sources for neural network

US7403928B2 · kind B2 · utility

6Cited by
8References
20Claims
0Family size

Assignee

Inventor

Key dates

Filing dateFeb 1, 2006
Grant dateJul 22, 2008
Priority date
Expiry dateApr 1, 2026

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/09
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A system, method, and device for identifying data sources for a neural network are disclosed. The exemplary system may have a module for determining load curves for each selected data set. The system may also have a module for determining a global difference measure and a global similarity measure for each load curve of each selected data set. The system may have a module for determining a set of data sets with lowest value global difference measure. The system may also have a module for determining a set of data sets with largest value global similarity measure. The system may also have a module for determining a union of the sets of lowest value difference measure and the sets of largest value similarity measure. The system may also have a module for determining for each set in the union one of a local similarity measure and a local difference measure and a module for selecting a set of reduced data sets based on one of the local similarity measure and the local difference measure.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.