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