Implementation of evolutionary fuzzy systems
Evolutionary fuzzy systems are discussed in which the membership function shapes and
types and the fuzzy rule set including the number of rules inside it are evolved using a …
types and the fuzzy rule set including the number of rules inside it are evolved using a …
[PDF][PDF] Genetic fuzzy systems: A tutorial
F Herrera, L Magdalena - Tatra Mt. Math. Publ.(Slovakia), 1997 - Citeseer
The automatic de nition of a fuzzy system can be considered in many cases as an
optimization or search process. Genetic Algorithms (GAs) are the best known and most …
optimization or search process. Genetic Algorithms (GAs) are the best known and most …
[图书][B] Intelligent systems: modeling, optimization, and control
Providing a thorough introduction to the field of soft computing techniques, Intelligent
Systems: Modeling, Optimization, and Control covers every major technique in artificial …
Systems: Modeling, Optimization, and Control covers every major technique in artificial …
An intelligent robotic system based on a fuzzy approach
This paper deals with a fuzzy-based intelligent robotic system that requires various
capabilities normally associated with intelligence. It acquires skills and knowledge through …
capabilities normally associated with intelligence. It acquires skills and knowledge through …
[图书][B] Handbook of fuzzy computation
E Ruspini, P Bonissone, W Pedrycz - 2020 - books.google.com
This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …
[图书][B] Fuzzy evolutionary computation
W Pedrycz - 1997 - Springer
Fuzzy evolutionary computation Page 2 FUZZY EVOLUTIONARY COMPUTATION Page 3
FUZZY EVOLUTIONARY COMPUTATION edited by Witold Pedrycz The University of Manitoba …
FUZZY EVOLUTIONARY COMPUTATION edited by Witold Pedrycz The University of Manitoba …
Application of a two-stage fuzzy neural network to a prostate cancer prognosis system
Objective This study intends to develop a two-stage fuzzy neural network (FNN) for
prognoses of prostate cancer. Methods Due to the difficulty of making prognoses of prostate …
prognoses of prostate cancer. Methods Due to the difficulty of making prognoses of prostate …
Adapting the gain of an FLC with genetic algorithms
L Magdalena - International journal of approximate Reasoning, 1997 - Elsevier
Fuzzy logic controllers are knowledge-based systems, incorporating human knowledge into
their knowledge base through fuzzy rules and fuzzy membership functions. The definition of …
their knowledge base through fuzzy rules and fuzzy membership functions. The definition of …
Construction of fuzzy systems using least-squares method and genetic algorithm
The fuzzy basis function network which was proposed in Wang and Mendel (IEEE Trans.
Neural Networks 3 (5)(1992b) 807) provides a way of representing fuzzy inference systems …
Neural Networks 3 (5)(1992b) 807) provides a way of representing fuzzy inference systems …
A CLASSIFIED REVIEW ON THE COMBINATION FUZZY LOGIC–GENETIC ALGORITHMS BIBLIOGRAPHY: 1989–1995
A CLASSIFIED REVIEW ON THE COMBINATION FUZZY LOGIC-GENETIC ALGORITHMS
BIBLIOGRAPHY: 1989-1995 1 Introduction Recentely, numerous Page 1 A CLASSIFIED …
BIBLIOGRAPHY: 1989-1995 1 Introduction Recentely, numerous Page 1 A CLASSIFIED …