Neural Networks Applications
Mostrando 1-12 de 74 artigos, teses e dissertações.
-
1. Calibration Strategies Applied to Laser-Induced Breakdown Spectroscopy: A Critical Review of Advances and Challenges
Over the years, laser-induced breakdown spectroscopy (LIBS) has been reported in the literature as an alternative to traditional methods of analysis, becoming well established among spectroanalytical techniques. LIBS is a technique widely used for qualitative approaches; however, it is necessary considerable effort for use in quantitative analysis, mainly du
J. Braz. Chem. Soc.. Publicado em: 2020-12
-
2. Modeling of stem form and volume through machine learning
Abstract Taper functions and volume equations are essential for estimation of the individual volume, which have consolidated theory. On the other hand, mathematical innovation is dynamic, and may improve the forestry modeling. The objective was analyzing the accuracy of machine learning (ML) techniques in relation to a volumetric model and a taper function f
An. Acad. Bras. Ciênc.. Publicado em: 18/10/2018
-
3. The Neuroid revisited: A heuristic approach to model neural spike trains
AbstractIntroduction: Since it was introduced in 2012, the Neuroid has been used to aid in understanding how functionally different neural populations contribute to sensory information processing. However, insights about whether this neuron-model could perform better than others or about when its utilization should be considered have not been provided yet.
Res. Biomed. Eng.. Publicado em: 18/12/2017
-
4. Artificial neural network for prediction of the area under the disease progress curve of tomato late blight
ABSTRACT: Artificial neural networks (ANN) are computational models inspired by the neural systems of living beings capable of learning from examples and using them to solve problems such as non-linear prediction, and pattern recognition, in addition to several other applications. In this study, ANN were used to predict the value of the area under the diseas
Sci. agric. (Piracicaba, Braz.). Publicado em: 2017-02
-
5. Pattern Identification on the Nonlinear Radial Motion of an Oscillating Spherical Bubble Using Neural Networks
Abstract The main goal of this article is to study the oscillatory motion of a spherical gas bubble immersed in a Newtonian liquid subjected to a harmonic pressure excitation. We use the classical Rayleigh-Plesset equation to study the radial motion of the bubble undergoing a forcing acoustic pressure field. The second order nonlinear ordinary differential e
Lat. Am. j. solids struct.. Publicado em: 2016-12
-
6. ANN model of RF MEMS Lateral SPDT switches for millimeter wave applications
This paper presents Artificial Neural Network (ANN) implementation for the Radio Frequency (RF) and Mechanical modeling of lateral RF Micro Electro Mechanical System (MEMS) series micro machined Single pole double through (SPDT) switch. We propose an efficient approach based on ANN for analyzing the losses in ON and OFF state of lateral RF MEMS series switch
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2012-06
-
7. Desenvolvimento de um controlador preditivo baseado em redes neurais para aplicação em uma planta de polimerização de estireno / Development of a predictive controller based on neural networks for use in a polymerization plant of styrene
Indústrias de polimerização, em geral, utilizam diferentes sistemas reacionais para obter polímeros com diferentes características. Os processos de polimerização de estireno em batelada podem a apresentar um perfil de temperatura transiente, por causa de efeitos de viscosidade no meio reacional, são chamados de efeitos difusionais. Com a finalidade d
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 04/07/2011
-
8. Points in the History of the Brazilian Society of Automatics ("Sociedade Brasileira de Automática" - SBA)
The Brazilian Society of Automatics (SBA- Sociedade Brasileira de Automatica) was established in 1975 as a scientific organization to promote the Science and Engineering of Automation and Control in Brazil and to be a leading forum for researchers, students and professionals working in the various fields of Control and Automation. Currently SBA has over 700
Sba: Controle & Automação Sociedade Brasileira de Automatica. Publicado em: 2011-02
-
9. Um estudo sobre reconhecimento de padrões: um aprendizado supervisionado com classificador bayesiano / A study on pattern recognition: supervised learning with a Bayesian classier
The facility we have to recognize a face, to understand spoken words, reading manuscripts, identifying car keys in our pocket and deciding whether an apple is ripe by its smell, belie the complex processes that are behind the act to recognize these patterns. These recognitions have been crucial to our survival, and over the past tens of millions of years sop
Publicado em: 2011
-
10. Nonlinear optimum model following control of flexible aircraft.
This Doctorate Thesis concerns optimum control of flexible aircraft. Models of a conceptual flexible aircraft are developed for control applications. A general model following problem via output feedback is developed and applied to the conceptual aircraft. The models are determined for 3 aircraft variants with increasing flexibility. The aerodynamics of flex
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 10/12/2010
-
11. Controle de acesso baseado em biometria facial
Face recognition is one of the most ordinary and natural task carried out by humans. Even though it is a simple task, it has proved to be a major challenge for artificial intelligence and computer vision researchers. Researches on object detection and recognition, and more specifically those related to human face, has greatly increased their demand in recent
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 31/08/2010
-
12. Modelos modificados de redes neurais morfológicas / Modified models of morphological neural networks
Morphological neural networks (MNN) are artificial neural networks whose hidden neurons perform elementary operations of mathematical morphology (MM). Several particular models of MNNs have been proposed in recent years, including morphological perceptrons (MPs), morphological perceptrons with dendrites, (fuzzy) morphological associative memories, modular mo
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/04/2010