Search Results - "neural networks"

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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.

Get full text

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…”
Get full text

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…”
Get full text

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 …”
Get full text

El cerebro social como base de la inteligencia artificial: Potencial uso en neurorrehabilitación by Guzmán-Sandoval, Verónica Miriam, Delgado-Enciso, Iván, Santana-Mancilla, Pedro César, Cervantes-Kardasch, Víctor Hugo, Fajardo Flores, Silvia Berenice, Rodríguez Sánchez, Iram Pablo

Get full text

Single Gaussian Chaotic Neuron: Numerical Study and Implementation in an Embedded System by Torres Treviño, Luis Martín, Rodríguez Liñan, Ángel, González Estrada, Luis Lauro, González Sanmiguel, Gustavo

“…Artificial Gaussian neurons are very common structures of artificial neural networks like radial basis function. These artificial neurons use a Gaussian activation function that includes two parameters called the center of mass (cm) and sensibility factor (…”
Get full text

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. …”
Get full text

Optimization in preparation process of V₂O₅ using symbolic regression α-β. by González Campos, Guillermo

“…Genetic programming, artificial neural networks and linear regression were compared with symbolic regression in order to know which technique has better efficiency to generate models. …”
Get full text

Optimization in preparation process of V₂O₅ using symbolic regression α-β. by González Campos, Guillermo

“…Genetic programming, artificial neural networks and linear regression were compared with symbolic regression in order to know which technique has better efficiency to generate models. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text