CMU Artificial Intelligence Repository
NeuDL: Neural-Network Description Language
areas/neural/systems/neudl/
NeuDL (Neural-Network Description Language) is a prototype of a
description language for the design, training, and operation of neural
networks.
NeuDL is currently limited to the backpropagation neural-network
model, but offers a great deal of flexibility. For example, the user
can explicitly specify the connections between nodes and can create or
destroy connections dynamically as training progresses.
NeuDL is an interpreted language resembling C or C++. A NeuDL program
can be run in interpreted mode or it can be automatically translated
into C++ which can be compiled and then executed. The NeuDL
interpreter is written in C++ and can be easly extended with new
instructions.
Origin:
cs.ua.edu:/pub/neudl/NeuDLver021.tar [130.160.44.1]
Version: 0.21 (17-JUN-94)
Requires: C++
Copying: May be used and distributed for educational purposes only.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Joey Rogers
The University of Alabama
Keywords:
Authors!Rogers, Backpropagation, C++!Code,
Connectionist Systems, NeuDL, Neural Networks
Contains:
neudl*.tgz The NeuDL system
demo.doc FAQ for NeuDL and a demonstration of the program.
paper.doc A short paper about NeuDL
References: ?
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