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This book presents different experimental results as evidence of the good results obtained compared with respect to conventional approaches and litera...Savoir plus
This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simul...Savoir plus
This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the u...Savoir plus
This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in ...Savoir plus
This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This b...Savoir plus
This book briefly reviews the basic concepts of type-2 fuzzy systems and then describes the proposed definitions for interval type-3 fuzzy sets and re...Savoir plus
This book focuses on the fields of neural networks, swarm optimization algorithms, clustering and fuzzy logic. This book describes a hybrid method wit...Savoir plus
This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques....Savoir plus
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization...Savoir plus
This book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of fuzz...Savoir plus
This book presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic. T...Savoir plus
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-lin...Savoir plus
In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics ...Savoir plus
This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intel...Savoir plus
In this book, anew method for hybrid intelligent systems is proposed. The proposed method isbased on a granular computing approach applied in two leve...Savoir plus
Introduction to Pattern Recognition with Intelligent Systems.- Type-1 Fuzzy Logic.- Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic.- Supervised Neu...Savoir plus
In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning meth...Savoir plus
This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diag...Savoir plus
This book briefly reviews the basic concepts of type-2 fuzzy systems and then describes the proposed definitions for interval type-3 fuzzy sets and re...Savoir plus
This book presents a unified view of modelling, simulation, and control of non- linear dynamical systems using soft computing techniques and fractal t...Savoir plus
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and g...Savoir plus
In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose a...Savoir plus
We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists o...Savoir plus
In this book four new methods are proposed. In the first method the generalized type-2 fuzzy logic is combined with the morphological gra-dient techni...Savoir plus