DocumentCode :
540214
Title :
Condela-3: A language for neural networks
Author :
Almássy, Nikolaus ; Köhle, Monika ; Schönbauer, Franzi
fYear :
1990
fDate :
17-21 June 1990
Firstpage :
285
Abstract :
Condela-3 (connection definition language) is a high-level programming language specifically designed for the development and modeling of neural network applications. It is a procedural and general-purpose language that allows parallelism via the concept of selections, i.e. groups of units or connections to which actions can be applied. Units and connections can be created dynamically at any point in the program flow. The parallelism expressible in Condela-3 is independent of the underlying hardware. Condela-3 is easy to teach, having few language constructs, yet allows the expression of arbitrary network topologies and learning paradigms due to its powerful statements and to its two levels of abstraction. It is easily portable to other operating systems, and its open design allows simple interfacing to existing applications
Keywords :
high level languages; neural nets; Condela-3; connection definition language; general-purpose language; high-level programming language; language; learning paradigms; modeling; neural networks; parallelism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location :
San Diego, CA, USA
Type :
conf
DOI :
10.1109/IJCNN.1990.137583
Filename :
5726543
Link To Document :
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