Observador Adaptativo Estável Usando Redes Neurais Artificiais

Projeto de controladores suplementares de amortecimento utilizando redes neurais artificiais

Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões

The importance of organizing medical images according to their nature, application and relevance is increasing. Furhermore, a previous selection of medical images can be useful to accelerate the task of analysis by pathologists. Herein this work we propose an image classifier to integrate a CBIR (Content-Based Image Retrieval) selection system. This classifier is based on pattern spectra and ne...

Computational Modeling of Alzheimer’s Disease Symptoms Using Venn’s Network

Alzheimer’s disease is a degenerative disorder of the brain that is still without cure and affects millions of people around the world. Understanding the disease mechanisms is important for therapeutics. A first step would be to use an explanatory model of the disease’s symptoms. For that one would need an adaptive computational approach that resembles the biological system, upon which the Alzh...

Previsão De Vazões Médias Mensais Usando Redes Neurais Nebulosas

This paper presents a neural fuzzy network model for seasonal streamflow forecasting. The model is based on a constructive learning method where neurons groups compete when the network receives a new input, so that it learns the fuzzy rules and membership functions essential for modelling a fuzzy system. The model was applied to the problem of seasonal streamflow forecasting using a database of...

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 − ...