Listar Producción Académica por materia "Training"
Mostrando publicaciones 1-15 de 15
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2nd international congress on high performance sports: a report on martial arts and combat sports
(2018)Introduction. Martial arts and combat sports are practiced by thousands of people around the world and increasingly discussed in scientific publications. Material and Methods. We describe an observational case study by ...
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A new fast training algorithm for autoencoder neural networks based on extreme learning machine
; Mora, Marco
; ; ; ; (2022)
Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
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A systematic review of intervention programs that produced changes in speed and explosive strength in youth footballers
(2021)A soccer player should possess a reasonable level of different skills and abilities, so the playing position, level of training, style of play, physical and physiological demands can influence his performance. The objective ...
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Classification of diseased and healthy apple leaves through extreme learning machines
; ; ; ; Barrientos, Ricardo (2022)
Diseases in agricultural crops are a risk for fruit productivity and quality. Chile is a fruit exporting country; that needs the development of technologies for diseases prevention and treatment. Farmers have been exploring ...
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Extreme learning machine (ELM) for detection of hazardous near Earth objects
(2023)The protection of planet Earth, its inhabitants, and all living beings requires the identification of potentially dangerous objects, the simulation of impacts with Earth, and the mitigation of such threats. This research ...
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Extreme learning machine for mass spectrometry data analysis
(2022)In this work, we introduce the use of a weighted extreme learning machine (ELM) to give an automated predictive value to mass spectrometry data. In specific, the data obtained with Matrix-Assisted Laser DesorptioMonization-Time ...
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Extreme learning machines for detecting the water quality for human consumption
(2023)Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, ...
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Extreme learning machines for predict the diamond price range
(2023)Gemstones, such as diamonds, are used in various applications, from jewelry to technology, where they have recently been considered as semiconductor materials. However, the value of diamonds is difficult to measure due to ...
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Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
; Mora, Marco; ; ; (2022)
Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...
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Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron
; ; Mora, Marco; ; (2022)
Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...
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From synthetic data to real palm vein identification: a fine-tuning approach
; ; Barrientos, Ricardo; ; ; (2023)
Palm vein recognition has relevant advantages in comparison with most traditional biometrics, such as high security and recognition performance. In recent years, CNN-based models for vascular biometrics have improved the ...
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Parallel training of a set of online sequential extreme learning machines
; Barrientos, Ricardo; ; Mora, Marco (2022)
Size databases have constantly increased from advances in technology and the Internet, so processing this vast amount of information has been a great challenge. The neural network Extreme Learning Machine (ELM) have been ...
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PVEIN-MLELM: a novel palm vein identification approach through multilayer extreme learning machine
(2022)Biometric identification systems play an essential role in multiple application areas, such as banking services, e-government, and public security, among others. Particularly, palm vein recognition is considered an emerging ...
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Video games for the treatment of autism spectrum disorder: a systematic review
(2021)Video games are a promising area of intervention for children diagnosed with Autism Spectrum Disorders (ASD). However, reviews on this topic are scarce. This review on studies exploring video games for the treatment of ASD ...
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Wine quality classification using physicochemical properties along with extreme learning machines
(2023)Chilean wine is one of the most consumed in the global market due to its excellent quality and wide variety of grape crops throughout the country, with Chile being the largest exporter of wine in the southern hemisphere. ...