With excellent global approximation performance and interpretability, Takagi-Sugeno-Kang
(TSK) fuzzy systems have enjoyed a wide range of applications in various fields, such as …

根据矿工安全行为自身的复杂性, 影响因素的多样性, 行为过程的非线性, 模糊性, 随机性,
时变性的特点, 从安全生理, 安全心理, 工程心理, 安全管理, 生活重大事件, 不同文化差异6 …

提出一种基于有限元模型的开关磁阻电机自适应模糊神经网络系统(ANFIS)
无位置传感器控制的新方法. 自适应模糊神经网络系统以相绕组的电流和磁链为输入 …

Recently, establishment and maintenance of the tax assessment indicators system is still in
the stage of manual operation. The accuracy of tax assessment depends on the officials' …

The paper develops the modified structure of the Takagi-Sugeno-Kang neuro-fuzzy network
with a theoretical basis for its adaptation. The simplified structure follows from the basic …

Gradient techniques and genetic algorithms are currently the most widely used parameters
learning methods for fuzzy neural networks. Since Gradient techniques search for local …

In order to solve the problem of garbage treatment effectively, a control method is proposed
based on Takagi-Sugeno (TS) fuzzy neural network model after analyzing the characteristics …

A new method of switched reluctance wind power generation position sensorless based on
DFNN by FEA was proposed. Through current and magnetic linkage to get the angle of SRG …

Query expansion technology and Formal Concept Analysis (FCA) are two effective methods
for improving the query precision in the information retrieval field. In this paper, Formal …

В статье рассматривается подход к построению регуляторов, основанный на
использовании гибридных регуляторов для нелинейных объектов, использующих …