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Unorganized neural networks — or unorganized machines - are recent developed architectures in the field of computational intelligence, in which the supervised tuning of the free parameters is restricted to the weights of the output layer, by means of a linear least square solution. The remaining weights are randomly generated and stand untrained which become the adjustment process simple and fast...
This paper presents the general architecture of an adaptive recommender system of learning objects, whose recommendations combine three distinct aspects: contents, collaboration and knowledge. The recommender system is implemented like a semantic web service, designed with the framework FODAS-WS, which allows the specification of computational systems using ontologies, using the ODA (Ontology Driven...
The impact of air pollution on human health is widely studied, especially at large cities in the world. The most used methodologies to access this impact are based on statistical regressions, such as Generalized Linear Models. A few researchers use neural networks. In this context, the present work intend to predict the number of hospital admissions for respiratory diseases in Campinas city, São Paulo...
The template matching is an important technique used in pattern recognition. It aims at finding a given pattern within a frame sequence. Pearson's Correlation Coefficient (PCC) is widely used to evaluate the similarity of two images. This coefficient is computed for each image pixel, which entails a computationally very expensive process. This paper proposes an implementation of the template matching...
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