Title :
A COBOL-like neural network simulation language based on layer macro definition
Author :
Gyu Wan Hong ; Park, Gyung Syub ; Lee, Su Dong
Author_Institution :
Dept. of Comput. Eng., Ulsan Univ., South Korea
Abstract :
Most of neural network simulation programs have been implemented with the conventional computer languages. It is difficult to implement simulation programs because the languages have no data structures and statements suitable for expressing neural network structures and controlling neural behaviors. This paper describes a neural network simulation language, specifically designed for the development and modeling of neural network applications. It has a layer macro definition concept to express the arbitrary network structures and dynamic neural behaviors easily. It consists of two divisions: the first division describes the network structures, and the second division controls the network behaviors.
Keywords :
COBOL; macros; neural nets; simulation languages; COBOL-like simulation language; dynamic neural behaviors; layer macro definition; modeling; network behavior control; network simulation language; network structures; Computational modeling; Computer languages; Computer networks; Computer simulation; Data structures; Neural networks; Neurons; Power system modeling; Topology;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.714089
