DocumentCode
396679
Title
Modular neural networks for solving high complexity problems
Author
El-Bakry, Hazem M.
Author_Institution
Fac. of Comput. Sci. & Inf. Syst., Mansoura Univ., Egypt
Volume
3
fYear
2003
fDate
20-24 July 2003
Firstpage
2202
Abstract
In this paper, we introduce a powerful solution for complex problems which required to be solved using neural nets. This is done by using modular neural nets (MNNs) that divide the input space into several homogenous regions. Such approach is applied to implement XOR functions, 16 logic function on one bit level, and 2-bit digital multiplier. Compared to previous non- modular designs, a salient reduction in the order of computations and hardware requirements is obtained.
Keywords
logic design; multiplying circuits; neural nets; problem solving; 16 logic function; 2 bit digital multiplier; XOR functions; hardware requirements; high complexity problem solving; homogenous regions; modular neural networks; nonmodular designs; Artificial neural networks; Computer architecture; Computer science; Decision making; Information systems; Interference; Logic functions; Multi-layer neural network; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223750
Filename
1223750
Link To Document