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
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;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223750
