Neuro-fuzzy modeling and control
Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm
Y Ding, X Fu - Neurocomputing, 2016 - Elsevier
Fuzzy c-means clustering algorithm (FCM) is a method that is frequently used in pattern
recognition. It has the advantage of giving good modeling results in many cases, although, it …
recognition. It has the advantage of giving good modeling results in many cases, although, it …
An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network
RJ Kuo, CH Chen, YC Hwang - Fuzzy sets and systems, 2001 - Elsevier
The stock market, which has been investigated by various researchers, is a rather
complicated environment. Most research only concerned the technical indexes (quantitative …
complicated environment. Most research only concerned the technical indexes (quantitative …
Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
H Ishibuchi, T Nakashima… - IEEE Transactions on …, 1999 - ieeexplore.ieee.org
We examine the performance of a fuzzy genetics-based machine learning method for
multidimensional pattern classification problems with continuous attributes. In our method …
multidimensional pattern classification problems with continuous attributes. In our method …
Integrating design stage of fuzzy systems using genetic algorithms
MA Lee, H Takagi - [Proceedings 1993] Second IEEE …, 1993 - ieeexplore.ieee.org
The authors propose an automatic fuzzy system design method that uses a genetic
algorithm and integrates three design stages. The method determines membership …
algorithm and integrates three design stages. The method determines membership …
Using computational intelligence to forecast carbon prices
GS Atsalakis - Applied Soft Computing, 2016 - Elsevier
European Union has introduced the European Trading System (ETS) as a tool for
developing and implementing international treaties related to climate changes and to …
developing and implementing international treaties related to climate changes and to …
Neural networks that learn from fuzzy if-then rules
H Ishibuchi, R Fujioka, H Tanaka - IEEE Transactions on fuzzy …, 1993 - ieeexplore.ieee.org
An architecture for neural networks that can handle fuzzy input vectors is proposed, and
learning algorithms that utilize fuzzy if-then rules as well as numerical data in neural network …
learning algorithms that utilize fuzzy if-then rules as well as numerical data in neural network …
[图书][B] Fuzzy set theory: basic concepts, techniques and bibliography
R Lowen - 2012 - books.google.com
The purpose of this book is to provide the reader who is interested in applications of fuzzy
set theory, in the first place with a text to which he or she can refer for the basic theoretical …
set theory, in the first place with a text to which he or she can refer for the basic theoretical …
A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm
RJ Kuo - European Journal of Operational Research, 2001 - Elsevier
Sales forecasting is highly complex due to the influence of internal and external
environments. However, reliable prediction of sales can improve the quality of business …
environments. However, reliable prediction of sales can improve the quality of business …
Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system
Construction of metro tunnels in dense and crowded urban areas is faced with many risks,
such as subsidence. The purpose of this paper was the prediction of subsidence risk by …
such as subsidence. The purpose of this paper was the prediction of subsidence risk by …