Technology Assessment of Neural Networks

Abstract

Unlike a Von Neumann type of computer which needs to be programmed to carry out an information-processing function, neural networks are promised as an alternative to artificial intelligence (AI) to attack many problems AI has been unable to do such as seeing, speaking, reading, and learning from experience. While conventional digital computers process detailed steps of a stored program to carry out its goal, neural nets can be adaptive or trainable through a series of trials to learn how to process information. An assessment of the current, near-term (1995), and long-term (2010) trends in Neural Networks is given.

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Document Details

Document Type
Technical Report
Publication Date
Feb 13, 1989
Accession Number
ADA216887

Entities

People

  • Son T. Nguyen

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Brain
  • Cerebral Cortex
  • Charge Coupled Devices
  • Classification
  • Computer Science
  • Computers
  • Engineering
  • Information Processing
  • Information Systems
  • Machine Learning
  • Neural Networks
  • Neurons
  • Signal Processing
  • Systems Engineering
  • Technology Assessment

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks