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.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc501018 |
| Date | 12 1900 |
| Creators | McMichael, Lonny D. (Lonny Dean) |
| Contributors | Fisher, Paul S., Parberry, Ian, Yang, Cui-Qing, 1944- |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | iv, 252 leaves: ill., Text |
| Rights | Public, McMichael, Lonny D. (Lonny Dean), Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved. |
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