Fuzzy logic hybrid extensions of neural and optimization algorithms : theory / Oscar Castillo, Patricia Melin, editors.
We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization o...
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| Online Access: |
Full Text (via Springer) |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2021]
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| Series: | Studies in computational intelligence ;
v. 940. |
| Subjects: |
Table of Contents:
- Estimation of the Number of Filters in the Convolution Layers of a Convolutional Neural Network Using a Fuzzy Logic System
- Optimization of Membership Function Parameters for Fuzzy Controllers in Cruise Control Problem Using the Multi-verse Optimizer
- Performance Analysis of a Distributed Steady-State Genetic Algorithm Using Low-Power Computers
- Ensemble Recurrent Neural Networks for Complex Time Series Prediction with Integration Methods
- Genetic Optimization of Ensemble Neural Network Architectures for Prediction of COVID-19 Confirmed and Death Cases
- Optimization of Modular Neural Networks for the Diagnosis of Cardiovascular Risk
- A Review on the Cuckoo Search Algorithm
- An Improved Convolutional Neural Network Based on a Parameter Modification of the Convolution Layer
- Parameter Optimization of a Convolutional Neural Network Using Particle Swarm Optimization
- One-Dimensional Bin Packing Problem: An Experimental Study of Instances Difficulty and Algorithms Performance
- Looking for Emotions in Evolutionary Art
- Review of Hybrid Combinations of Metaheuristics for Problem Solving Optimization
- GPU Accelerated Membrane Evolutionary Artificial Potential Field for Mobile Robot Path Planning
- Optimization of the Internet Shopping Problem with Shipping Costs
- Multiobjective Algorithms Performance When Solving CEC09 Test Instances
- Analysis of the Efficient Frontier of the Portfolio Selection Problem Instance of the Mexican Capital Market
- Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters
- A Study on the Use of Hyper-heuristics Based on Meta-Heuristics for Dynamic Optimization
- On the Adequacy of a Takagi-Sugeno-Kang Protocol as an Empirical Identification Tool for Sigmoidal Allometries in Geometrical Space
- A New Hybrid Method Based on ACO and PSO with Fuzzy Dynamic Parameter Adaptation for Modular Neural Networks Optimization
- Knowledge Discovery Using an Evolutionary Algorithm and Compensatory Fuzzy Logic.