Modular neural networks for solving high complexity problems
Hazem Mokhtar El-Bakry · 2004
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.