Research/Patents/US 5146541
US 5146541Tier 3 — General Defense

SIGNAL PHASE PATTERN SENSITIVE NEURAL NETWORK SYSTEM AND METHOD

Assignee

US Government

Filed as: UNITED STATES OF AMERICA, THE, AS REPRESENTED BY THE SECRETARY OF THE NAVY

Filed

Jun 19, 1989

Granted

Sep 8, 1992

Location

San Diego CA (SAIC/General Dynamics)

Abstract

A signal phase pattern sensitive neural network system can discern persist patterns of phase in a time varying or oscillatory signal. The system employs duplicate inputs from each of its sensors to the processing elements of a first layer of its neural network, with the exception that one input is phase shifted relative to the other. The system also employs a modification of a conventional Kohonen competitive learning rule which is applied by the processing and learning elements of a second layer of its neural network.

Source: Google Patents

35 USC §181 Secrecy Order

Imposed

Aug 3, 1989

Rescinded

Mar 2, 1992

Duration

2 years, 7 months

Inventor

  • 1STEVEN L. SPEIDEL

Sensitive facility: San Diego CA (SAIC/General Dynamics)

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Back to patent indexSource: USPTO 35 USC §181 secrecy order records