Books by Patricia Melin
Intelligent System Design Base
Intelligent System Design Based on Soft Computing Models
Clustering, Classification, an
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks
Fuzzy Logic and Neural Network
Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design
New Directions on Hybrid Intel
New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms
New Horizons for Fuzzy Logic,
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
Type-3 Fuzzy Logic in Time Ser
Type-3 Fuzzy Logic in Time Series Prediction
Hybrid Competitive Learning Me
Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks
Hybrid Intelligent Systems Bas
Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics
Interval Type-3 Fuzzy Systems
Interval Type-3 Fuzzy Systems
New Perspectives on Hybrid Int
New Perspectives on Hybrid Intelligent System Design Based on Fuzzy Logic, Neural Networks and Metaheuristics
Fuzzy Logic Hybrid Extensions
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms
Nature-Inspired Optimization o
Nature-Inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
New Medical Diagnosis Models B
New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic
Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
Neuro Fuzzy Hybrid Models for
Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis
Recent Advances of Hybrid Inte
Recent Advances of Hybrid Intelligent Systems Based on Soft Computing
Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic
Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Edge Detection Methods Based o
Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
Fuzzy Logic in Intelligent System Design
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
Nature-Inspired Design of Hybrid Intelligent Systems
New Backpropagation Algorithm
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
Novel Developments in Uncertainty Representation and Processing
Chemical Optimization Algorithm for Fuzzy Controller Design
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics
Recent Advances on Hybrid Approaches for Designing Intelligent Systems
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Recent Advances on Hybrid Intelligent Systems
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
Soft Computing for Hybrid Intelligent Systems
Type-2 Fuzzy Logic
Analysis and Design of Intelligent Systems Using Soft Computing Techniques
Foundations of fuzzy logic and soft computing
Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
Soft Computing and Fractal Theory for Intelligent Manufacturing
Modelling, Simulation and Control of Non-Linear Dynamical Systems
Soft Computing for Control of Non-Linear Dynamical Systems