1,721,072 research outputs found
A Hybrid Genetic-Neural Architecture for Stock Indexes Forecasting
No full textIn this paper, a new approach for time series forecasting is presented. The forecasting activity results from the interaction of a population of experts, each integrating genetic and neural technologies. An expert of this kind embodies a genetic classifier designed to control the activation of a feedforward artificial neural network for performing a locally scoped forecasting activity. Genetic and neural components are supplied with different information: The former deal with inputs encoding information retrieved from technical analysis, whereas the latter process other relevant inputs, in particular past stock prices. To investigate the performance of the proposed approach in response to real data, a stock market forecasting system has been implemented and tested on two stock market indexes, allowing for account realistic trading commissions. The results pointed to the good forecasting capability of the approach, which repeatedly outperformed the “Buy and Hold” strategy
Diagnostic value of 24 hr urinary copper excretion after penicillamine challenge in the adult Wilson's disease patients.
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Stock market prediction by a mixture of genetic-neural experts
No full textIn this paper, a hybrid approach to stock market forecasting is presented. It entails utilizing a mixture of hybrid experts, each expert embedding a genetic classifier coupled with an artificial neural network. Information retrieved from technical analysis is supplied as input to genetic classifiers, while past stock market prices - together with other relevant data - are used as input to neural networks. In this way it is possible to implement a strategy that resembles the one used by human experts. In particular, genetic classifiers based on technical-analysis domain knowledge are used to identify quasi-stationary regimes within the financial data series, whereas neural networks are designed to perform context-dependent predictions. For this purpose, a novel kind of feedforward artificial neural network has been defined whereby effective stock market predictors can be implemented without the need for complex recurrent neural architectures. Experiments were performed on. a major Italian stock market index, also taking into account trading commissions. The results point to the good forecasting capability of the proposed approach, which allowed outperforming the well known buy-and-hold strategy, as well as predictions obtained using recurrent neural networks
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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