Methodology - Evolutionary artificial neural networks
Members
Description
Desarrollo de algoritmos de Redes Neuronales Artificiales Evolutivas
Publications
- Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks
- Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm
- Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency
- Evolutionary product unit logistic regression: The case of agrarian efficiency
- Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems
- An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks
- A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems
- A structural distance based crossover for neural network classifiers
- Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks
- Weighting efficient Accuracy and Minimum Sensitivity for evolving multi-class classifiers
- Hybrid Artificial Neural Networks: Models, Algorithms and Data
- A two-stage algorithm in evolutionary product unit neural networks for classification
- A dynamic over-sampling procedure based on sensitivity for multi-class problems
- Designing Multilayer Perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm
- Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification
- Técnica de Hibridación de un Algoritmo Evolutivo y una Búsqueda Local basada en Análisis Cluster para la Optimización de Redes Neuronales RBF
- A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks
- Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks
- Improving crossover operator for real-coded genetic algorithms using virtual parents
- Hybridation of evolutionary algorithms and local search by means of a clustering method
