Hybrid intelligent system of rules extraction for decision making
Alexey Nikolaevich Averkin, Sergey Yarushev · Journal of Physics Conference Series · 2020
Abstract This article attempts to give an overview of several algorithms for extracting rules from an artificial neural network. The goal of this article is to find critical links three important parts of artificial intelligence – production models, fuzzy logic and deep learning. Such an approach will stimulate researchers in the field of soft computing to develop applied systems in the field of explanational artificial intelligence and machine learning.