Joint use of neural network technologies and decision trees for logical patterns exploration in data

The issues of joint use of neural network technologies with methods of logical deduction and decision making support in data mining tasks are considered. The analysis of searching for logical patterns algorithms, their advantages and disadvantages is carried out. The description of combined algorithms for rules extraction from the trained neural networks and presentation the result in the form of a hierarchical, sequential structure of "if-then" rules is given. The representation of decision trees in the form of the semantic network facts is considered.