Search Results - neural network

Complex dynamical network control for trajectory tracking using delayed recurrent neural networks by Pérez Padrón, José Paz, Pérez Padrón, Joel, Flores Hernández, Ángel, Arroyo Garza, Santiago

“…Based on the V-stability and Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a delayed recurrent neural network and a complex dynamical network is obtained. …”
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Use of Ensemble Learning to Improve Performance of Known Convolutional Neural Networks for Mammography Classification by Berrones Reyes, Mayra Cristina, Salazar Aguilar, María Angélica, Castillo Olea, Cristian

“…Convolutional neural networks and deep learning models represent the gold standard in medical image classification. …”
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Evaluation and development of pedotransfer functions and artificial neural networks to saturation moisture content estimation by Trejo Alonso, Josué, Fuentes, Sebastián, Morales Durán, Nami, Chávez, Carlos

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Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Loredo Cancino, Margarita

“…Adaline and feed-forward backpropagation Artificial Neural Networks (ANNs) were developed to predict the breakthrough curves for the adsorption of phenol onto barley husks activated carbon (BHAC) in an airlift reactor. …”
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Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Loredo Cancino, Margarita

“…Adaline and feed-forward backpropagation Artificial Neural Networks (ANNs) were developed to predict the breakthrough curves for the adsorption of phenol onto barley husks activated carbon (BHAC) in an airlift reactor. …”
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Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Margarita Loredo-Cancino

“…Adaline and feed-forward backpropagation Artificial Neural Networks (ANNs) were developed to predict the breakthrough curves for the adsorption of phenol onto barley husks activated carbon (BHAC) in an airlift reactor. …”
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FPGA Realization and Lyapunov–Krasovskii Analysis for a Master-Slave Synchronization Scheme Involving Chaotic Systems and Time-Delay Neural Networks by Pérez Padrón, Joel, Posadas Castillo, Cornelio, Paz Pérez, José, Zambrano Serrano, Ernesto, Platas Garza, Miguel Ángel, Ouannas, Adel

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Trajectory tracking error using fractional order time-delay recurrent neural networks using Krasovskii-Lur’e functional for Chua’s circuit via inverse optimal control by Pérez Padrón, Joel, Pérez Padrón, José Paz, Méndez Barrios, C.F., González Galván, E.J.

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Funcionamiento de una red neuronal artificial con el método de propagación inversa by González Marroquín, Joel, de la Cruz Mauricio, Susana Gabriela, Garza Rocha, Diana, Cortes Coss, Agustín, Cortes Coss, Dina Elizabeth

Subjects: “…Artificial neural networks…”
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Clasificador de objetos en MATLAB® con redes neuronales de aprendizaje profundo by Guzmán Lembo, Allison, Mayorga Alvarado, Carlos Daniel, Dávila Vázquez, Jimena Fernanda, Martínez Reyna, Jonathan, Rodriguez-Liñan, Angel, Torres-Treviño, Luis M.

Subjects: “…Artificial neural network…”
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Evaluación del uso de redes neuronales artificiales para predecir el rendimiento de aplicaciones distribuidas independientemente de la plataforma by Flores-Contreras, Jesus, Duran-Limon, Hector, Mezura-Montes, Efren

“…Evaluating the use of Artificial Neural Networks for Platform-independent Performance Prediction of Distributed Applications …”
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Forest volume estimation techniques with special emphasis on the tropics by Guzmán Santiago, Juan Carlos, Aguirre Calderón, Oscar Alberto, Vargas Larreta, Benedicto

“…The rigorous volume estimation technique is the most used in the tropics to obtain the volume of individual sections, which are fitted by conventional or neural network equations to estimate the total volume. …”
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Decoding kinematic variables from electroencephalographic signals during lower limb mobility protocols by Mercado Cerda, Luis Antonio

“…With these insights, we could define a nonarbitrary selection of a candidate model (e.g., computational model or neural network) to classify motion tasks and/or to resolve the continuous trajectory reconstruction of lower limb kinematics. …”
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Decoding kinematic variables from electroencephalographic signals during lower limb mobility protocols by Mercado Cerda, Luis Antonio

“…With these insights, we could define a nonarbitrary selection of a candidate model (e.g., computational model or neural network) to classify motion tasks and/or to resolve the continuous trajectory reconstruction of lower limb kinematics. …”
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Nuevas direcciones empíricas en la investigación e innovación de tecnología educativa para la evaluación del aprendizaje en línea: una aproximación conexionista by López Ramírez, Ernesto Octavio, Morales Martínez, Guadalupe Elizabeth, Hedlefs Aguilar, María Isolde, González Trujillo, Claudia Jaquelina, Moreno Meza, Argenis Paul

“…Finally, a connectionist neural network was implemented capable of identifying if a student has learned a topic by using only the Schemata priming effect. …”
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Mejoramiento de la biolixiviación de minerales por Acidithiobacillus ferrooxidans con la aplicación de un sistema neurocontrolado by Hernández Rodarte, Felipe Samuel

“…A neuronal model, that was optimized using of the method of Frangú, 1999, was obtained. A 2 layer neuronal network with 2 neurons in the first layer and one in the second layer was obtained; a sigmoid tangent function was used. …”
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Mejoramiento de la biolixiviación de minerales por Acidithiobacillus ferrooxidans con la aplicación de un sistema neurocontrolado by Hernández Rodarte, Felipe Samuel

“…A neuronal model, that was optimized using of the method of Frangú, 1999, was obtained. A 2 layer neuronal network with 2 neurons in the first layer and one in the second layer was obtained; a sigmoid tangent function was used. …”
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Predicción de rugosidad en maquinado de aleación de Ti-6Al-4V usando redes neuronales by Escamilla Salazar, Indira Gary, Torres Treviño, Luis Martín, Zambrano Robledo, Patricia del Carmen, Pérez Villanueva, Pedro, González Ortíz, Bernardo

“…The aim of this work is to present a methodology for predicting the roughness (Ra) obtained from the machining of the Ti-6Al-4V, with a given confidence interval, and compare this results with an Artificial Neural Network (ANN), considering the cutting speed, feed and depth as input variables. …”
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Test bed for applications of heterogeneous unmanned vehicles by Muñoiz Palacios, Filiberto, Espinoza Quesada, Eduardo Steed, Sanahuja, Guillaume, Salazar, Sergio, García Salazar, Octavio, García Carrillo, Luis Rodolfo

“…Finally, in order to illustrate the effectiveness of the developed test bed for the implementation of advanced controllers, we present experimental results of the implementation of three consensus algorithms: static, adaptive, and neural network, in order to accomplish that a team of multiagents systems move together to track a target. …”
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Clasificación de mamografías mediante redes neuronales convolucionales by Berrones Reyes, Mayra Cristina

“…Métodos de estudio: Para poder realizar el clasificador se utilizan herramientas de inteligencia artificial (IA), como lo son las redes neuronales convolucionales (Abreviada CNN por sus siglas en inglés, Convolutional Neural Network). A lo largo del trabajo se dará una descripción a detalle del porqué se utiliza este tipo de herramientas a diferencia de las que existen actualmente en el ámbito de clasificación. …”
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