Results 31 to 40 of about 96,386 (319)
Fuzzy Rule Interpolation With $K$-Neighbors for TSK Models
When a fuzzy system is presented with an incomplete (or sparse) rule base, fuzzy rule interpolation (FRI) offers a useful mechanism to infer conclusions for unmatched observations.
Pu Zhang, C. Shang, Q. Shen
semanticscholar +1 more source
Hierarchical Bidirectional Fuzzy Rule Interpolation [PDF]
The “curse of dimensionality” and “sparse rule base” are two common and important problems in conventional fuzzy systems. Using hierarchical fuzzy systems is an effective way to deal with the “curse of dimensionality” problem, whilst fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models, making inference possible ...
Shangzhu Jin +3 more
openaire +1 more source
Online monitoring of gases dissolved in transformer oil is widely applied. Improving the performance of dissolved gas analysis (DGA)‐based fault diagnosis methods by exploring new features of time‐series data has become an appealing topic. In this study,
Yongliang Liang +3 more
doaj +1 more source
An Accurate Detection Approach for IoT Botnet Attacks Using Interpolation Reasoning Method
Nowadays, the rapid growth of technology delivers many new concepts and notations that aim to increase the efficiency and comfort of human life. One of these techniques is the Internet of Things (IoT). The IoT has been used to achieve efficient operation
Mohammad Almseidin, Mouhammd Alkasassbeh
doaj +1 more source
New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems [PDF]
This paper describes new approaches to improve the local and global approximation (matching) and modeling capability of Takagi–Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy and fast convergence. The main problem
Al-Hadithi, Basil M. +2 more
core +2 more sources
Neuro-fuzzy chip to handle complex tasks with analog performance [PDF]
This Paper presents a mixed-signal neuro-fuzzy controller chip which, in terms of power consumption, input-output delay and precision performs as a fully analog implementation. However, it has much larger complexity than its purely analog counterparts.
Navas González, Rafael +2 more
core +5 more sources
A multiplexing architecture for mixed-signal CMOS fuzzy controllers [PDF]
Limits to precision impose limits to the complexity of analog circuits, hence fuzzy analog controllers are usually oriented to fast low-power systems with low-medium complexity.
A. Rodríguez-Vázquez +6 more
core +3 more sources
A multiplexed mixed-signal fuzzy architecture [PDF]
Analog circuits provide better area/power efficiency than their digital counterparts for low-medium precision requirements. This limit in precision as well as the lack of design tools when compared to the digital approach, imposes a limit of complexity ...
Navas González, Rafael +2 more
core +1 more source
A mixed-signal fuzzy controller and its application to soft start of DC motors [PDF]
Presents a mixed-signal fuzzy controller chip and its application to control of DC motors. The controller is based on a multiplexed architecture presented by the authors (1998), where building blocks are also described.
Navas González, Rafael +2 more
core +1 more source
Towards sparse rule base generation for fuzzy rule interpolation [PDF]
Fuzzy inference systems have been successfully applied to many real-world applications. Traditional fuzzy inference systems are only applicable to problems with dense rule bases by which the entire input domain is fully covered, whilst fuzzy rule interpolation (FRI) is also able to work with sparse rule bases that may not cover certain observations ...
Yao Tan +5 more
openaire +1 more source

