Accession Number:

ADA255433

Title:

Development of Neural Network Architectures for Self-Organizing Pattern Recognition and Robotics

Descriptive Note:

Annual technical rept. no. 2, 15 Dec 1990-14 Feb 1992

Corporate Author:

BOSTON UNIV MA CENTER FOR ADAPTIVE SYSTEMS

Report Date:

1992-07-01

Pagination or Media Count:

18.0

Abstract:

During the second year of the DARPA ANNT Program contact, new neural network architectures were developed to carry out autonomous real-time preprocessing, segmentation, recognition, timing, and control of both spatial and temporal inputs. These architectures contribute to 1 preprocessing of visual form and motion signals 2 preprocessing of acoustic signals 3 adaptive pattern recognition and categorization in an unsupervised learning context 4 adaptive pattern recognition and prediction in a supervised learning context 5 processing of temporal patterns using working memory networks, with applications to 3-D object recognition 6 adaptive timing for task scheduling 7 adaptive sensory-motor control using head-centered spatial representations of 3-D target position.

Subject Categories:

  • Computer Systems
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE