المؤلفون: Jose V. Frances-Villora, Leandro D. Medus, Manuel Bataller-Mompeán, Taras Iakymchuk, Alfredo Rosado-Muñoz

المصدر: IEEE Access, Vol 7, Pp 76084-76103 (2019)
Medus, Leandro Daniel Iakymchuk, Taras Francés Villora, José Vicente Bataller Mompean, Manuel Rosado Muñoz, Alfredo 2019 A Novel Systolic Parallel Hardware Architecture for the FPGA Acceleration of Feedforward Neural Networks Ieee Access 7 76084 76103
RODERIC. Repositorio Institucional de la Universitat de Valéncia
instname

مصطلحات موضوعية: Hardware architecture, Floating point, General Computer Science, Artificial neural network, Computer science, Clock rate, Activation function, General Engineering, Sistemes informàtics, Autoencoder, Arquitectura d'ordinadors, Computational science, neural network acceleration, FPGA implementation, deep neural networks, Multilayer perceptron, Feedforward neural networks - FFNN, Feedforward neural network, Xarxes neuronals (Informàtica), General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, systolic hardware architecture

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b72f5531fa1c5b3f2b6fa59c212b372Test
https://ieeexplore.ieee.org/document/8731886Test/

المؤلفون: M. Delgado, Guy Clerc, Jesus A. Carino, Daniel Zurita, Juan Antonio Ortega

المساهمون: Universitat Politècnica de Catalunya [Barcelona] (UPC), Ampère, Département Méthodes pour l'Ingénierie des Systèmes (MIS), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group

المصدر: IEEE Access, Vol 4, Pp 6151-6160 (2016)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
IEEE Access
IEEE Access, IEEE, 2016, 4, pp.6151-6160. ⟨10.1109/ACCESS.2016.2611649⟩
Recercat. Dipósit de la Recerca de Catalunya
instname

مصطلحات موضوعية: 0209 industrial biotechnology, Artificial intelligence, Process modeling, Industrial plants, General Computer Science, Generalization, Computer science, Fuzzy neural networks, forecasting, 02 engineering and technology, fuzzy neural networks, Fuzzy logic, Signal, Neural networks (Computer science), Predictive models, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, medicine, Xarxes neuronals (Informàtica), General Materials Science, Time series, Artificial neural network, business.industry, Intel·ligència artificial, [SPI.NRJ]Engineering Sciences [physics]/Electric power, industrial plants, General Engineering, Process (computing), Enginyeria electrònica [Àrees temàtiques de la UPC], Control engineering, predictive models, Time series analysis, medicine.anatomical_structure, time series analysis, 020201 artificial intelligence & image processing, Neuron, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971, Neural networks, Forecasting

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be19be775649a31d640cff262c0b66e4Test
https://ieeexplore.ieee.org/document/7572156Test/