Documentos de Franco L. | REDI

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Objetivos de Desarrollo Sostenible: "ODS 8: Trabajo decente y crecimiento económico"

Subtipo de publicación

Conference Object(4)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)

IEEE International Conference on Neural Networks - Conference Proceedings(1)

IEEE Transactions on Neural Networks and Learning Systems(1)

IEEE Transactions on Parallel and Distributed Systems(1)

Integrated Computer-Aided Engineering(1)

Área temáticas

Ciencias de la computación(8)

Física aplicada(2)

Enfermedades(1)

Libros poéticos del Antiguo Testamento(1)

Área de conocimiento

Ciencias de la computación(5)

Aprendizaje automático(2)

Optimización matemática(1)

Red neuronal artificial(1)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(9)

ODS 4: Educación de calidad(5)

ODS 17: Alianzas para lograr los objetivos(2)

ODS 12: Producción y consumo responsables(1)

ODS 3: Salud y bienestar(1)

Año de Publicación

Origen

Palabras Claves

Hardware implementation(3)

Supervised learning(2)

Active learning(1)

Constructive Neural Networks(1)

Constructive neural network(1)

A new constructive approach for creating all linearly separable (threshold) functions

Conference Object

Abstract: A new constructive approach for creating all linearly separable functions is introduced. Balanced an

Palabras claves:

Anthony M., Franco L., Jerez-Aragonés J.M., José Luis Subirats

C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons

Abstract: C-Mantec is a novel neural network constructive algorithm that combines competition between neurons

Palabras claves:

Active learning, Constructive neural network, Feed-forward network, generalization, Incremental learning, Overfitting

Franco L., Jerez-Aragonés J.M., José Luis Subirats

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers

Abstract: The well-known backpropagation learning algorithm is implemented in a field-programmable gate array

Palabras claves:

Embedded Systems, field-programmable gate array (FPGA), Hardware implementation, Microcontrollers, Supervised learning

Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Luque-Baena R.M., Urda D.

Hybrid (generalization-correlation) method for feature selection in high dimensional DNA microarray prediction problems

Conference Object

Abstract: Microarray data analysis is attracting increasing attention in computer science because of the many

Palabras claves:

Constructive Neural Networks, Data Mining, DNA Microarray, feature selection

Couce Y., Franco L., Jerez-Aragonés J.M., José Luis Subirats, Urda D.

FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model

Abstract: A two-dimensional Ising model with nearest-neighbors ferromagnetic interactions is implemented in a

Palabras claves:

Hardware implementation, Ising model, LFSR random number generator, Monte Carlo simulations

Cannas S.A., Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Montemurro M.A.

MaxSet: An algorithm for finding a good approximation for the largest linearly separable set

Conference Object

Abstract: Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard pro

Palabras claves:

Franco L., Jerez-Aragonés J.M., José Luis Subirats

Layer multiplexing FPGA implementation for deep back-propagation learning

Abstract: Training of large scale neural networks, like those used nowadays in Deep Learning schemes, requires

Palabras claves:

Deep Neural Networks, Fpga, Hardware implementation, Layer multiplexing, Supervised learning

Francisco Ortega-Zamorano, Franco L., Gómez I., Jerez-Aragonés J.M.

Optimal synthesis of Boolean functions by threshold functions

Conference Object

Abstract: We introduce a new method foi1 obtaining optimal architectures that implement arbitrary Boolean func

Palabras claves:

Franco L., Gómez I., Jerez-Aragonés J.M., José Luis Subirats

Solving scheduling problems with genetic algorithms using a priority encoding scheme

Abstract: Scheduling problems are very hard computational tasks with several applications in multitude of doma

Palabras claves:

Evolutionary and genetic algorithms, Job shop problems, Priority encoding scheme

Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., José Luis Subirats, Juárez G.E., Mesa H., Turias I.