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Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección
(2013-10-08)
Este trabajo aborda la resolución de problemas de
clasificación binaria utilizando una metodología
híbrida que combina la regresión logística y
modelos evolutivos de redes neuronales de
unidades producto. Para estimar ...
Regresión no lineal mediante la evolución de modelos Híbridos de Redes Neuronales
(Comité Organizador de MAEB'05, 2005)
El presente trabajo es una primera aproximación a
la formación de modelos de redes neuronales con
unidades ocultas de tipo híbrido (sigmoides,
producto) que siendo aproximadores universales,
puedan utilizarse como ...
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm
(2017)
This paper proposes a time series segmentation algorithm combining a clustering technique and a genetic algorithm to automatically find segments sharing common statistical characteristics in paleoclimate time series. The ...
Object-Based Image Classification of Summer Crops with Machine Learning Methods
(MDPI, 2014)
The strategic management of agricultural lands involves crop field monitoring each year. Crop discrimination via remote sensing is a complex task, especially if different crops have a similar spectral response and cropping ...
Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux
(MDPI, 2021)
Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing ...
An ordinal CNN approach for the assessment of neurological damage in Parkinson’s disease patients
(Elsevier, 2021)
3D image scans are an assessment tool for neurological damage in Parkinson’s disease (PD) patients. This diagnosis process can be automatized to help medical staff through Decision Support Systems (DSSs), and Convolutional ...
A Review of Classification Problems and Algorithms in Renewable Energy Applications
(MDPI, 2016)
Classification problems and their corresponding solving approaches constitute one of the
fields of machine learning. The application of classification schemes in Renewable Energy (RE) has
gained significant attention in ...
An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks
(Springer, 2016)
This chapter considers a recent algorithm to add broader diversity at the beginning of the evolutionary process and extends it to sigmoidal neural networks. A simultaneous evolution of architectures and weights is performed ...