INVESTIGATION OF THE CHARACTERISTICS OF A NEURON-LIKE NETWORK USED TO CONTROL AN OPPOSING-ACTUATOR DEVICE.

Abstract

A neural network controlled muscle system is designed and built using an electronic neuron model as the basic element to form the netwrok, and an opposing-actuator device, composed of two electromagnetic solenoids, as the 'prime mover.' The system is analyzed with the help of a variable impedance muscle stimulator previously used for live muscle testing. The static and dynamic characteristics of the model resemble those of a live muscle. Parameters of the network are varied to determine their effects on the system. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1966
Accession Number
AD0639706

Entities

People

  • James Thomas Medley

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Actuators
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Impedance
  • Neural Networks
  • Solenoids

Readers

  • Aerospace Test and Evaluation
  • Combustion and Flow Dynamics.
  • Neuroscience

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems