Title :
Large Artificial Nerve Net (LANNET)
Author_Institution :
Melpar, Inc., Falls Church, Va.
Abstract :
This report describes the implementation of a high speed self-organizing system based on the reinforcement principle. The self-organizing binary logical network is used as the primary component in the system. The learning system is a 1024 decision element netwolk with a general purpose program to enable the operator to simulate a large number of problems to study machine learning. The simulation of a maze runner problem and the results of some preliminary machine evaluation are presented. The system was developed for the Aeronautical Systems Division´s Electronic Technology Laboratory to study complex biological problems.
Keywords :
Biological system modeling; Cells (biology); Counting circuits; Laboratories; Mathematical model; Probability; Sensor arrays; Signal generators; Switches; System testing;
Journal_Title :
Military Electronics, IEEE Transactions on
DOI :
10.1109/TME.1963.4323078