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Uma abordagem para construção de sistemas fuzzy baseados em regras integrando conhecimento de especialistas e extraído de dados
(Universidade Federal de São Carlos, 2015-09-17)
Historically, since Mamdani proposed his model of fuzzy rule-based system, a lot has changed in the construction process of this type of models. For a long time, the research efforts were directed towards the automatic ...
RHeSumaRST: um sumarizador automático de estruturas RST.
(Universidade Federal de São Carlos, 2005-08-05)
This work presents an automatic summarization model based on both the Rhetorical Structure Theory RST and the Veins Theory VT. RST allows inter-relating discourse units by means of rhetorical relations. These, in ...
O uso da teoria de conjuntos aproximados na modelagem de bases de dados relacionais e na extração de conhecimento.
(Universidade Federal de São Carlos, 2005-05-13)
This work investigates two relational database models that extend the standard relational database model. Both models extend the standard relational model by allowing ways to represent
uncertainty. The rough relational ...
Um paradigma baseado em algoritmos genéticos para o aprendizado de regras Fuzzy
(Universidade Federal de São Carlos, 2004-05-24)
The construction of the knowledge base of fuzzy systems has been beneficited intensively from automatic methods that extract the necessary knowledge from data sets which represent examples of the problem. The evolutionary ...
Criação de filtros de imagens através da utilização de programação genética
(Universidade Federal de São Carlos, 2013-06-03)
The techniques of computer vision have been used more and more by the industries in order to aid the automation of their processes; however, the implementation of computer vision techniques has several difficulties according ...
Análise de séries temporais fuzzy para previsão e identificação de padrões comportamentais dinâmicos
(Universidade Federal de São Carlos, 2015-04-30)
The good results obtained by the fuzzy approaches applied in the analysis of time series
(TS) has contributed significantly to the growth of the area. Although there are satisfactory
results in TS analysis with methods ...
Sobre o processo de seleção de subconjuntos de atributos - as abordagens filtro e wrapper.
(Universidade Federal de São Carlos, 2005-04-28)
Inductive machine learning methods learn the expression of the concept from a
training set. Training sets are, generally, composed by instances described by attributevalue
pairs and an associated class. The attribute set ...
Aprendizado supervisionado usando redes neurais construtivas
(Universidade Federal de São Carlos, 2006-05-25)
Constructive neural learning is a neural learning model that does not assume a fixed
network topology before training begins. The main characteristic of this learning model is the
dynamic construction of the network s ...
Aprendizado de máquina baseado em separabilidade linear em sistema de classificação híbrido-nebuloso aplicado a problemas multiclasse
(Universidade Federal de São Carlos, 2009-06-29)
This master thesis describes an intelligent classifier system applied to multiclass non-linearly separable problems called Slicer. The system adopts a low computacional cost supervised learning strategy (evaluated as ) ...
Um avaliador de cenários simulados para reseqüenciamento da produção em sistemas automatizados de manufatura usando lógica nebulosa.
(Universidade Federal de São Carlos, 2004-08-20)
In the search for competitive advantages, companies of the manufacture industry segment have been investing in the production flexibility and processes automation, looking
for assisting a variety of types of products, ...