Nature-Inspired Design of Hybrid Intelligent Systems

1. Front Matter

   Pages i-xii

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2. Type-2 and Intuitionistic Fuzzy Logic

   1. Front Matter

      Pages 1-1

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   2. General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System

      • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Olivia Mendoza, Oscar Castillo

      Pages 3-18

   3. An Overview of Granular Computing Using Fuzzy Logic Systems

      • Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro

      Pages 19-38

   4. Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment

      • Fernando Gaxiola, Patricia Melin, Fevrier Valdez, Juan R. Castro

      Pages 39-61

   5. Interval Type-2 Fuzzy Possibilistic C-Means Optimization Using Particle Swarm Optimization

      • Elid Rubio, Oscar Castillo

      Pages 63-78

   6. Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection

      • Gabriela E. Martínez, D. Olivia Mendoza, Juan R. Castro, Patricia Melin, Oscar Castillo

      Pages 79-97

   7. Bidding Strategies Based on Type-1 and Interval Type-2 Fuzzy Systems for Google AdWords Advertising Campaigns

      • Quetzali Madera, Oscar Castillo, Mario Garcia, Alejandra Mancilla

      Pages 99-113

   8. On the Graphical Representation of Intuitionistic Membership Functions for Its Use in Intuitionistic Fuzzy Inference Systems

      • Amaury Hernandez-Aguila, Mario Garcia-Valdez, Oscar Castillo

      Pages 115-126

   9. A Gravitational Search Algorithm Using Type-2 Fuzzy Logic for Parameter Adaptation

      • Beatriz González, Fevrier Valdez, Patricia Melin

      Pages 127-138

3. Neural Networks Theory and Applications

   1. Front Matter

      Pages 139-139

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   2. Particle Swarm Optimization of the Fuzzy Integrators for Time Series Prediction Using Ensemble of IT2FNN Architectures

      • Jesus Soto, Patricia Melin, Oscar Castillo

      Pages 141-158

   3. Long-Term Prediction of a Sine Function Using a LSTM Neural Network

      • Magdiel Jiménez-Guarneros, Pilar Gómez-Gil, Rigoberto Fonseca-Delgado, Manuel Ramírez-Cortés, Vicente Alarcón-Aquino

      Pages 159-173

   4. UAV Image Segmentation Using a Pulse-Coupled Neural Network for Land Analysis

      • Mario I. Chacon-Murguia, Luis E. Guerra-Fernandez, Hector Erives

      Pages 175-185

   5. Classification of Arrhythmias Using Modular Architecture of LVQ Neural Network and Type 2 Fuzzy Logic

      • Jonathan Amezcua, Patricia Melin

      Pages 187-194

   6. A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosis

      • Martha Pulido, Patricia Melin, German Prado-Arechiga

      Pages 195-205

   7. Spectral Characterization of Content Level Based on Acoustic Resonance: Neural Network and Feedforward Fuzzy Net Approaches

      • Juan Carlos Sanchez-Diaz, Manuel Ramirez-Cortes, Pilar Gomez-Gil, Jose Rangel-Magdaleno, Israel Cruz-Vega, Hayde Peregrina-Barreto

      Pages 207-224

   8. Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition

      • Daniela Sánchez, Patricia Melin, Juan Carpio, Hector Puga

      Pages 225-241

   9. A Competitive Modular Neural Network for Long-Term Time Series Forecasting

      • Eduardo Méndez, Omar Lugo, Patricia Melin

      Pages 243-254

4. Fuzzy Metaheuristics

   1. Front Matter

      Pages 255-255

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This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic indiverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

• Computational Intelligence
• Nature-Inspired Optimization
• Meta-Heuristics
• Pattern Recognition
• Time Series Prediction

• Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

  Patricia Melin, Oscar Castillo

• Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

  Janusz Kacprzyk

Policies and ethics