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A Neural Network Configuration Compiler Based on the Adaptrode Neuronal Model

A useful compiler has been designed that takes a high level neural network specification and constructs a low level configuration file explicitly specifying all network parameters and connections. The neural network model for which this compiler was designed is the adaptrode neuronal model, and the configuration file created can be used by the Adnet simulation engine to perform network experiments. The specification language is very flexible and provides a general framework from which almost any network wiring configuration may be created. While the compiler was created for the specialized adaptrode model, the wiring specification algorithms could also be used to specify the connections in other types of networks.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc501018
Date12 1900
CreatorsMcMichael, Lonny D. (Lonny Dean)
ContributorsFisher, Paul S., Parberry, Ian, Yang, Cui-Qing, 1944-
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formativ, 252 leaves: ill., Text
RightsPublic, McMichael, Lonny D. (Lonny Dean), Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved.

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