Competitive Neural Networks
Mostrando 1-12 de 20 artigos, teses e dissertações.
-
1. Modelos lineares locais para identificaÃÃo de sistemas dinÃmicos usando redes neurais competitivas / LOCAL LINEAR MODELS FOR IDENTIFICATION OF DYNAMICAL SYSTEMS USING COMPETITIVE NEURAL NETWORKS
Nesta tese aborda-se o problema de identificaÃÃo de sistemas dinÃmicos sobre a Ãtica dos modelos locais, em que o espaÃo de entrada à particionado em regiÃes de operaÃÃo menores sobre as quais sÃo construÃdos modelos de menor complexidade (em geral, lineares). Este tipo de modelo à uma alternativa aos chamados modelos globais em que a dinÃmica d
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/02/2012
-
2. ComitÃs de Classificadores Baseados nas Redes SOM e Fuzzy ART com Sintonia de ParÃmetros e SeleÃÃo de Atributos via MetaheurÃsticas EvolucionÃrias / Ensembles of classifiers based on SOM and Fuzzy ART networks with parameter tuning and feature selection through evolutionary metaheuristics.
O paradigma de classificaÃÃo baseada em comitÃs tem recebido considerÃvel atenÃÃo na literatura cientÃfica em anos recentes. Neste contexto, redes neurais supervisionadas tÃm sido a escolha mais comum para compor os classificadores base dos comitÃs. Esta dissertaÃÃo tem a intenÃÃo de projetar e avaliar comitÃs de classificadores obtidos atravÃ
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/11/2011
-
3. Modelagem da dinâmica vertical de coxins elastoméricos de motor através de método de redes neurais / Modeling vertical dynamic of elastomeric engine mounts using artificial neural networks
This dissertation scope is the modeling of an elastomeric mount, element which has primordial role on powertrain vibration isolation. The study of the mechanic behavior of those elastomeric materials is a field being studied for several years agor since its complexity and non-linarity of those components; and a reliable math models are competitive edge. So t
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 03/10/2011
-
4. Proposal for a strategic planning for the replacement of products in stores based on sales forecast
This paper presents a proposal for strategic planning for the replacement of products in stores of a supermarket network. A quantitative method for forecasting time series is used for this, the Artificial Radial Basis Neural Networks (RBFs), and also a qualitative method to interpret the forecasting results and establish limits for each product stock for eac
Pesquisa Operacional. Publicado em: 2011-08
-
5. 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
-
6. Proposta de implementação em hardware dedicado de redes neurais competitivas com técnicas de circuitos integrados analógicos / Proposal for implementation in dedicate hardware of competitive neural networks with analog integrated circuits techniques"
Neste trabalho apresenta-se uma proposta de uma técnica para implementação em hardware, das estruturas básicas de uma Rede Neural Competitiva, baseada em técnicas analógicas. Através desta proposta, será abordada uma das classes mais interessantes de Redes Neurais Artificiais (RNA) que são as Redes Neurais Competitivas (RNC), que possuem forte inspi
Publicado em: 2010
-
7. Estudo e implementação de algoritmos inteligentes para detecção e classificação de falhas na medição de gás natural / Estudo e implementação de algoritmos inteligentes para detecção e classificação de falhas na medição de gás natural
This master dissertation presents the study and implementation of inteligent algorithms to monitor the measurement of sensors involved in natural gas custody transfer processes. To create these algoritmhs Artificial Neural Networks are investigated because they have some particular properties, such as: learning, adaptation, prediction. A neural predictor is
Publicado em: 2009
-
8. Networks with spatio temporal dynamics in computer sciences / Redes com dinâmica espaço-temporal e aplicações computacionais
In the last decades, an increasing interest in complex system study has been witnessed. Such systems have at least two integrated fundamental components: individual dynamical elements and an organizational structure which defines the form of interaction among those elements. Due to the dynamics of each element and the coupling complexity, various spatial-tem
Publicado em: 2009
-
9. Fuzzy inference systems approach for long term hydrothermal scheduling / Sistema de inferencia nebulosa ao planejamento da operação hidrotermica de medio prazo
The long term hydrothermal scheduling lies in the optimization of the water resource usage through the maximization of the hydroelectric production and the minimization of the thermal plants operation. Its goal is to assure an economic and reliable load supply throughout the study stages. This problem can be characterized by exhibiting a complex nature, sinc
Publicado em: 2009
-
10. Support vector machines and particle swarm optimization applied to reliability prediction
Reliability is a critical metric for organizations since it directly influences their performance in face of the market competition, as well as is essential in maintaining their production systems available. The prediction of such quantitaive metric is then of great interest, as it may anticipate the knowledge about system failures and let organizations avoi
Publicado em: 2009
-
11. FAULT MESHING GENERATION IN SEISMIC DATA BY COMPETITIVE LEARNING / GERAÇÃO DE MALHAS DE FALHAS EM DADOS SÍSMICOS POR APRENDIZADO COMPETITIVO
Manual fault mapping from 3D seismic data is a time-consuming task. A plethora of seismic attributes has been proposed to enhance the discontinuity measures associated with faults. However, faults viewed through these attributes appear more like trends than well-defined, continuous surfaces, posing obstacles to the automation of the fault modeling process. T
Publicado em: 2008
-
12. Método de extração da posição de máquinas agrícolas por visão computacional baseado em redes pulsadas e ponto de fuga / Method for position extraction of agricultural machine based on pulsed neural networks and vanishing point
Cost reduction and productive process improvement are essential to increase yield in agricultural areas. Investments in technology become, therefore, important in a competitive world. This work presents a novel approach for extracting agricultural machine position, with respect to crop rows, processing images captured by a color video camera. The correct mac
Publicado em: 2008