Adaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency

3rd International Conference "Cognitive Robotics"

计算机科学

Syryamkin, V.I.^1 ; Gorbachev, S.V.^1 ; Shikhman, M.V.^1

National Research Tomsk State University, Tomsk, Russia^1

关键词: Adaptive fuzzy neural;    Algorithm operation;    Automatic Generation;    Evaluation of technology;    Fuzzy decision trees;    Hybrid algorithms;    Parameter adaptation;    Production network;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/516/1/012010/pdf
DOI  :  10.1088/1757-899X/516/1/012010

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The paper presents an example of modeling the algorithm operation. The paper analyses the modified Wang and Mendel MIMO-architecture of the adaptive fuzzy neural production network with a logical conclusion. It is distinguished by the automatic generation of a set of fuzzy rules based on a fuzzy decision tree and a hybrid algorithm for parameter adaptation by the neural network (centers, widths of membership functions, and conclusions) starting from the leaf nodes to the root nodes of the tree.