Intro
Preface
Organization
Contents
Deep Learning, Fuzzy Logic and Evolutionary Computation
Text Classification for Automatic Distribution of Review Notes in Movie Production
1 Introduction
2 Dataset
3 Methodology
3.1 Data Cleaning
3.2 Label Estimation
3.3 Tokenization
3.4 Classification
4 Experiments and Results
5 Conclusions and Future Work
References
Extended Rank-Based Ant Colony Optimization Algorithm for Traveling Salesman Problem
1 Introduction
2 Ant Colony Optimization
3 Proposed ACO Algorithm Plus Local Search
4 Results

5 Conclusions and Future Work
References
Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction
1 Introduction
2 Materials and Methods
2.1 TNM Model and Its Parameters
2.2 Multi-scale Convolutional Neural Model
2.3 Dataset
3 Experiments and Results
3.1 Training Details
3.2 Evaluation of Multi-scale Neural Model
4 Conclusion
References
Application of Fuzzy Logic to the Risk Assessment of Production Machines Failures
1 Introduction
2 Linguistic Values and Its Analysis in Risk Assessment

3 Fuzzy FMEA in the Risk Assessment of Production Downtime
4 Conclusion
References
First Approach of an Intelligent Automatic System for Aircraft Flap/Slat Positioning
1 Introduction
2 Brief State of the Art
3 Description of the Problem Addressed
4 Automation of the Flap/Slat Positioning System
4.1 General System Architecture
4.2 Fuzzy Decision Block
5 Simulation Results and Discussion
6 Conclusions and Future Works
References
Fuzzy Aggregators in Practice: Meta-Model and Implementation
1 Introduction
2 Background
3 Meta-Modeling Fuzzy Aggregators

4 Novel Constructs in J-CO-QL+ and Case Study
4.1 Case Study
4.2 Declaring Fuzzy Operator and Fuzzy Aggregators
4.3 Soft Querying
5 Conclusions
References
Machine Learning and Data Mining
Model-Based Design of the IMO-NMPC Strategy: Real-Time Implementation
1 Introduction
2 Workflow: From Simulation to Real-Time Execution
2.1 Phases
3 iMO-NMPC Strategy Implementation
4 Experiments
4.1 PHASE 3: Simulink Desktop Real-Time Experiments
4.2 PHASE 4: Simulink Real-Time Experiments
5 Results
5.1 SNL1/SNL5 SISO System Simulink Desktop Real-Time

5.2 SNL1/SNL5 SISO System Simulink Real-Time (Speedgoat)
5.3 SNL1-SNL1 MIMO System Simulink Real-Time (Speedgoat)
5.4 SNL1-SNL5 MIMO System Simulink Real-Time (Speedgoat)
6 Conclusions
References
Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier
1 Introduction
2 Materials and Methods
2.1 Principal Component Analysis (PCA)
2.2 Artificial Neural Networks (ANNs) and Bayesian Optimization
3 Results and Discussion
4 Conclusions
References