A designing method for BP neural networks based on rough set theory is presented in this paper. Rough set theory has a powerful capability for qualitative analysis, while BP neural networks can approach most problems with a much satisfying accuracy. By combining those advantages of the two theories, we can construct a kind of neural network with good understandability, simple computation and exact accuracy. The key idea of the learning algorithm for the proposed neural network is as follows: find a set of r...
Yong Min LI
, Shan Jun ZHU
, Xiang Hui CHEN
, Zeng Jin HAN
, Zeng Qi SUN. , {{custom_author.name_en}}.
A Rough Set Approach to BP Neural Network Designing. Systems Engineering - Theory & Practice, 1999, 19(4): 62-69 https://doi.org/10.12011/1000-6788(1999)4-62