Previsão De Umidade De Solos Através De Redes Neurais Sem Peso

Projeto de controladores suplementares de amortecimento utilizando redes neurais artificiais

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...

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...

Desenvolvimento de um sistema para análise da estabilidade transitória de sistemas de energia elétrica via redes neurais

A comparison of corporate distress prediction models in Brazil

This paper looks at the ability of a relatively new technique, hybrid ANN’s, to predict corporate distress in Brazil. These models are compared with traditional statistical techniques and conventional ANN models. The results suggest that hybrid neural networks outperform all other models in predicting firms in financial distress one year prior to the event. This suggests that for researchers, p...