New Neural Algorithms for Self-Organized Learning

Abstract

This interim report describes work completed from December 1988 to November 1991. The original purpose of the research program funded by this grant was to study self-organized systems which adapt and learn. The originally proposed research fell into two main categories: (1). Biological Models of Self- Organization; and (2). New Self-Organized Learning Systems. During the period for which this grant was funded, significant progress was made in both areas. In addition, some new areas related to neural network learning are being explored as an outgrowth of the original proposal. These include: (1). Model Selection Techniques; and (2). Estimating Generalization Performance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1991
Accession Number
ADA249816

Entities

People

  • John E. Moody

Organizations

  • Yale University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Clustering
  • Computer Science
  • Computers
  • Computing System Architectures
  • Content Addressable Memory
  • Dynamics
  • Efficiency
  • Information Processing
  • Information Systems
  • Learning
  • Nervous System
  • Neural Networks
  • Numbers
  • Quasiparticles
  • Self Organizing Systems
  • Signal Processing

Readers

  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks