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Mostrando ítems 21-30 de 1816
Comparación entre regresión logística y perceptrón multicapa: Caso aplicado al conjunto de datos Pima Indian Database
(Universidad Autónoma del Estado de México, 2021)
Rede perceptron com camadas paralelas (PLP - Parallel Layer Perceptron)
(Universidade Federal de Minas GeraisUFMG, 2006-12-18)
This work presents a novel approach to deal with the structural risk minimization (SRM) applied to a general machine learning problem. The formulation is based on the fundamental concept that supervised learning is a ...
Analysis and Recognition of Standards in Intelligent Hybrid Systems using Natural Computing
(2021-01-01)
Abstract. This work shows the application of one of the techniques of bioengineering, the perceptron network in the detection of system failures, and also allows the use of the perceptron network technique in choosing the ...
Integração de redes neurais artificiais ao nariz eletrônico: avaliação aromática de café solúvel
(Universidade Estadual de LondrinaCampo MouraoPrograma de Mestrado e Doutorado em Ciência de Alimentos, 2008)
Reconocimiento de caracteres mediante perceptrón multicapa
(Universidad Nacional Mayor de San MarcosPE, 2007)
Muestra un sistema con la característica de poder "aprender", mediante el uso de una Red Neuronal Artificial, patrones que representen las posibles variaciones de la forma de los caracteres impresos que pueden aparecer en ...
The use of multilayer perceptrons for statistical modeling SO2 non linear time series in Salta Capital, ArgentinaEl uso de perceptrones multicapa para la modelización estadística de series de tiempo no lineales de SO2, en Salta Capital, Argentina
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2013)
Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network
Electroencephalogram signals (EEG) have always been used in medical diagnosis. Evaluation of the statistical characteristics of EEG signals is actually the foundation of all brain signal processing methods. Since the correct ...
Condition-based monitoring system for rolling element bearing using a generic multi-layer perceptron
(Sage Publications Ltd, 2015-12-01)
Rolling element bearings are critical mechanical components in rotating machinery and fault detection in the early stages of damage is important to prevent their malfunctioning and failure. Vibration monitoring is the most ...
Computing Optical Properties of Photonic Crystals by Using Multilayer Perceptron and Extreme Learning Machine
(2018-09-15)
In this paper, dispersion relations (DRs) of photonic crystals (PhCs) are computed by multilayer perceptron (MLP) and extreme learning machine (ELM) artificial neural networks (ANNs). Bi- and tri-dimensional optimized ...
Reconhecimento de edifícios utilizando a transformada de Gabor, a transformada wavelet e a rede neural perceptron de múltiplas camadasRecognition of buildings using Gabor transform, wavelet transform and neural network multilayer perceptron
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia Elétrica, 2018)