Patent · US Active

Neural network systems and methods for event parameter determination

US11663448B2 · kind B2 · utility

0Cited by
12References
5Claims
0Family size

Assignee

Inventor

Key dates

Filing dateJun 28, 2019
Grant dateMay 30, 2023
Priority date
Expiry dateDec 19, 2041

Classification

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

Abstract

Systems, methods, and computer program products are provided for determining an event parameter are provided. Event data can be matched to a grid comprising gridlines and cells defined by the gridlines. The grid can be mapped to a predetermined area. Each cell can comprise a number of events per predetermined time interval. The cells can be sorted into classes based on the number of events occurring during the predetermined time interval to produce a classified data set. Features can be extracted from the classified data set. The extracted features can be processed using a classifier to determine the event parameter for a future time interval in at least one cell of the cells, for example, crime events. The classifier can comprise a neural network. Systems can comprise one or more of a processor, a neural network, and a user interface.

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