Modelagem da sensibilidade de amostras GMI por redes neurais

Redes neurais aplicadas em processos de usinagem da madeira

In order to obtain products and services to exceed the level of productivity required by the market, many machining wood factors should be optimized. The current goal of research in Artificial Intelligence is dedicated to develop intelligent flexible systems, self-adjusting, to decrease the presence of human operators. The control of these processes is done through the help of computer systems ...

Predição não-linear de series temporais usando redes neurais RBF por decomposição em componentes principais

This thesis proposes a new technique for non-linear time series forecasting basedupon Radial Basis Function Neural Networks and the Karhunen-Loève Transform. Asignificant performance improvement is obtained with the novel technique in comparisonwith usual prediction methods. By obtaining the neural network centers from the data setsub-spaces − or data set principal components − ...

Projeto de controladores suplementares de amortecimento utilizando redes neurais artificiais

Utilização de Redes Neurais na Manutenção Pró-Ativa de Índices

This paper presents a mechanism, denoted Neural-PIM, for proactive index management based on the use of artificial neural networks. Neural-PIM is DBMS-independent, runs continuously and with no DBA intervention. Additionally, Neural-PIM is based on a four steps approach: (1) monitoring the workload submitted to DBMS, (2) identifying a set of time consuming queries and discovery the more appropr...

Modelagem Vetorial Estendida por Regras de Associação

The goal of this work is to present an extension to the vector model that accounts for the correlation among query terms, by using association rules, a popular data mining technique. In Information Retrieval, the vector model allows retrieving a set of documents from a termbased query, where both query terms and documents are vectors in a vector space. Although the vector model has been used su...