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This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simul...Lees meer
This book presents different experimental results as evidence of the good results obtained compared with respect to conventional approaches and litera...Lees meer
We describe in this book, new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) con...Lees meer
This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in ...Lees meer
This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This b...Lees meer
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...Lees meer
This book reviews state-of-the-art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. The aut...Lees meer
This book focuses on the fields of neural networks, swarm optimization algorithms, clustering and fuzzy logic. This book describes a hybrid method wit...Lees meer
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization...Lees meer
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...Lees meer
This book presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic. T...Lees meer
In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics ...Lees meer
This book covers hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Includes basic ...Lees meer
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and g...Lees meer
In this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approach applied in two le...Lees meer
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...Lees meer
This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diag...Lees meer
In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning meth...Lees meer
This book presents a unified view of modelling, simulation, and control of non- linear dynamical systems using soft computing techniques and fractal t...Lees meer
This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic and fractal theory techniques in medica...Lees meer
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and g...Lees meer
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...Lees meer
We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists o...Lees meer
We describe in this book, new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) con...Lees meer