Feedforward Neural Networks
Mostrando 1-12 de 52 artigos, teses e dissertações.
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1. Predicting breeding value of body weight at 6-month age using Artificial Neural Networks in Kermani sheep breed
ABSTRACT. The present study aimed to apply artificial neural networks to predict the breeding values of body weight in 6-month age of Kermani sheep. For this purpose, records of 867 lambs including lamb sex, dam age, birth weight, weaning weight, age at 3-month (3 months old), age at 6-month (6 months old) and body weight at 3 months of age were used. Firstl
Acta Sci., Anim. Sci.. Publicado em: 04/07/2019
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2. Prediction of 3D ground reaction forces during gait based on accelerometer data
Abstract Introduction The aim of this study was to predict 3D ground reaction force signals based on accelerometer data during gait, using a feed-forward neural network (MLP). Methods Seventeen healthy subjects were instructed to walk at a self-selected speed with a 3D accelerometer attached to the distal and anterior part of the shank. A force plate was
Res. Biomed. Eng.. Publicado em: 21/09/2018
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3. REFERENCE EVAPOTRANSPIRATION FORECASTING BY ARTIFICIAL NEURAL NETWORKS
ABSTRACT: Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via Artificial Neural Networks (ANNs) for the northern region of São Paulo state, Brazil. Therefore, this aimed to predict the reference
Eng. Agríc.. Publicado em: 2017-12
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4. Development of a skateboarding trick classifier using accelerometry and machine learning
Abstract Introduction Skateboarding is one of the most popular cultures in Brazil, with more than 8.5 million skateboarders. Nowadays, the discipline of street skating has gained recognition among other more classical sports and awaits its debut at the Tokyo 2020 Summer Olympic Games. This study aimed to explore the state-of-the-art for inertial measurement
Res. Biomed. Eng.. Publicado em: 2017-10
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5. A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz
Abstract This article presents the analysis of a hybrid, error correction-based, neural network model to predict the path loss for suburban areas at 800 MHz and 2600 MHz, obtained by combining empirical propagation models, ECC-33, Ericsson 9999, Okumura Hata, and 3GPP's TR 36.942, with a feedforward Artificial Neural Network (ANN). The performance of the hyb
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-09
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6. PRELIMINARY MODELING OF AN INDUSTRIAL RECOMBINANT HUMAN ERYTHROPOIETIN PURIFICATION PROCESS BY ARTIFICIAL NEURAL NETWORKS
Abstract In the present study a preliminary neural network modelling to improve our understanding of Recombinant Human Erythropoietin purification process in a plant was explored. A three layer feed-forward back propagation neural network was constructed for predicting the efficiency of the purification section comprising four chromatographic steps as a func
Braz. J. Chem. Eng.. Publicado em: 2015-09
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7. Neural networks for predicting breeding values and genetic gains
Analysis using Artificial Neural Networks has been described as an approach in the decision-making process that, although incipient, has been reported as presenting high potential for use in animal and plant breeding. In this study, we introduce the procedure of using the expanded data set for training the network. Wealso proposed using statistical parameter
Sci. agric. (Piracicaba, Braz.). Publicado em: 2014-12
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8. Prediction of energy absorption capability in fiber reinforced self-compacting concrete containing nano-silica particles using artificial neural network
The main objective of the present work is to utilize feedforward multi-layer perceptron (MLP) type of artificial neural networks (ANN) to find the combined effect of nano-silica and different fibers (steel, polypropylene, glass) on the toughness, flexural strength and fracture energy of concrete is evaluated.For this purpose, 40 mix plot including 4 series A
Lat. Am. j. solids struct.. Publicado em: 2014-11
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9. Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks
This work investigates the use of artificial neural networks in modeling an industrial fermentation process of Pleuromutilin produced by Pleurotus mutilus in a fed-batch mode. Three feed-forward neural network models characterized by a similar structure (five neurons in the input layer, one hidden layer and one neuron in the output layer) are constructed and
Braz. J. Chem. Eng.. Publicado em: 2013-03
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10. Síntese automática de redes neurais artificiais com conexões à frente arbitrárias / Automatic synthesis of artificial neural networks with arbitrary feedforward connections
Esta tese apresenta duas metodologias de síntese automática de redes neurais artificiais com conexões à frente arbitrárias, com a proposição da arquitetura via computação evolutiva ou via um método construtivo, enquanto que os pesos sinápticos são definidos por técnicas de otimização não-linear. O processo de treinamento supervisionado visa p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 07/12/2011
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11. Desenvolvimento de procedimento e Soft-Sensors para controle de plantas de PET / Development of procedures and Soft-Sensors for control in PET plants
Neste trabalho são apresentados três estudos distintos de aplicação de Plantwide Control. A primeira aplicação trata-se de um controle antecipativo (feedforward) para controlar os níveis dos reatores na etapa de polimerização, a fim de reduzir suas variabilidades e, consequentemente, a produção de refugo, sendo que, em uma planta de Politereftalat
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/10/2011
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12. Redes neurais artificiais aplicadas à análise sensorial de requeijão light / Artificial neural networks applied to the sensory analysis of light cream cheese
O presente trabalho objetivou desenvolver modelos matemáticos empregando a técnica de Redes Neurais Artificiais (RNA’s) como alternativa potencial aos métodos estatísticos tradicionais para modelar as características sensoriais do requeijão light por meio de medidas instrumentais, da composição química, bem como a aceitabilidade sensorial do c
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 18/07/2011