Fuzzy broad learning system: A novel neuro-fuzzy model for regression and classification
A novel neuro-fuzzy model named fuzzy broad learning system (BLS) is proposed by
merging the Takagi-Sugeno (TS) fuzzy system into BLS. The fuzzy BLS replaces the feature …
merging the Takagi-Sugeno (TS) fuzzy system into BLS. The fuzzy BLS replaces the feature …
[書籍][B] Granular computing: analysis and design of intelligent systems
W Pedrycz - 2018 - taylorfrancis.com
Information granules, as encountered in natural language, are implicit in nature. To make
them fully operational so they can be effectively used to analyze and design intelligent …
them fully operational so they can be effectively used to analyze and design intelligent …
Comparative analysis of data mining methods for bankruptcy prediction
A great deal of research has been devoted to prediction of bankruptcy, to include application
of data mining. Neural networks, support vector machines, and other algorithms often fit data …
of data mining. Neural networks, support vector machines, and other algorithms often fit data …
[書籍][B] Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models
Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …
knowledge of state variables and time-varying parameters that are not directly measured by …
Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression
Accurate forecasting of wind power plays an important role in an effective and reliable power
system. However, the fact of non-schedulability and fluctuation of wind power significantly …
system. However, the fact of non-schedulability and fluctuation of wind power significantly …
Neuro-fuzzy control of a robotic exoskeleton with EMG signals
We have been develo** robotic exoskeletons to assist motion of physically weak persons
such as elderly, disabled, and injured persons. The robotic exoskeleton is controlled …
such as elderly, disabled, and injured persons. The robotic exoskeleton is controlled …
Accurate wireless sensor localization technique based on hybrid PSO-ANN algorithm for indoor and outdoor track cycling
This paper aims to determine the distance between the mobile sensor node (ie, bicycle) and
the anchor node (ie, coach) in outdoor and indoor environments. Two approaches were …
the anchor node (ie, coach) in outdoor and indoor environments. Two approaches were …
A self-evolving interval type-2 fuzzy neural network with online structure and parameter learning
CF Juang, YW Tsao - IEEE transactions on fuzzy systems, 2008 - ieeexplore.ieee.org
This paper proposes a self-evolving interval type-2 fuzzy neural network (SEIT2FNN) with
online structure and parameter learning. The antecedent parts in each fuzzy rule of the …
online structure and parameter learning. The antecedent parts in each fuzzy rule of the …
EMG and EPP-integrated human–machine interface between the paralyzed and rehabilitation exoskeleton
Although a lower extremity exoskeleton shows great prospect in the rehabilitation of the
lower limb, it has not yet been widely applied to the clinical rehabilitation of the paralyzed …
lower limb, it has not yet been widely applied to the clinical rehabilitation of the paralyzed …
Modelling and control for intelligent industrial systems
GG Rigatos - adaptive algorithms in robotics and industrial …, 2011 - Springer
Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …
production costs, and to improve working conditions and safety in industrial environments …