Adriano J. de O. Cruz

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In this article, we discuss the application of a combination of Neural Networks and Fuzzy Logic techniques to fundamentalist analysis of stock investment. Several researchers have used neural networks models in a variety of ways to predict short and long-term stock forecasting, but most of these models use technical indicators as inputs. This paper presents(More)
The purposes of this paper are: i) show how to use the previous knowledge of any economic analyst and represent this knowledge using frames [7]; ii) discuss the application of a combination of Neural Networks and Fuzzy Logic to predict the evolution of stock prices of Brazilian companies traded on the São Paulo Stock Exchange; iii) present the obtained(More)
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