Patricia Melin

Soft Computing Applications in Optimization, Control, and Recognition

Foundations of fuzzy logic and soft computing

Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks

New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms

Nature-Inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic

Nature-Inspired Design of Hybrid Intelligent Systems

New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

Fuzzy Logic in Intelligent System Design

Nature-Inspired Design of Hybrid Intelligent Systems

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition

Soft Computing for Recognition based on Biometrics

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition

Soft Computing for Recognition Based on Biometrics

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Modelling, Simulation and Control of Non-Linear Dynamical Systems

Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

Chemical Optimization Algorithm for Fuzzy Controller Design

Intelligent System Design Based on Soft Computing Models

New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

Type-3 Fuzzy Logic in Time Series Prediction

Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design

Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks

New Perspectives on Hybrid Intelligent System Design Based on Fuzzy Logic, Neural Networks and Metaheuristics

Interval Type-3 Fuzzy Systems

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms