1,720,970 research outputs found
Hierarchical Neural Networks for Quality Control in Steel-Industry Plants
No full textThis paper focuses on the design of hierarchical tree-structured neural networks and their application to complex classification problems. In particular, our approach examines the capabilities of Multi-Layer-Perceptrons (MLPs) and classification trees. We specifically propose a classification tree with two hierarchical levels where each node is a single-hidden-layer, multiple-output Multi-Layer-Perceptron (tree of MLPs, TMLP).
Wee applied the TMLP architecture to the classification of surface defects in flat rolled strips for the steel industry and demonstrate that, in terms of reliability and classification accuracy, the TMLP gives higher performance with respect to plain unstructured MLP. The result of our experiments are described in detail in this paper
A software toolbox for time series prediction and its application to daily rainfall forecasting in a geographic basin
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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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Implementing very high speed hierarchical MLP-based Classification Systems in real-time industrial environments
No full textApplication of an Ensemble Technique based on Singular Spectrum Analysis to Daily Rainfall Forecasting
No full textImplementing very high-speed hierarchical MLP-based classification systems in real-time environment
No full textProgrammed neural module
No full textIntegrated neural module, with input data register bank, wherein a control logic receives, from a decision register which stores decision results obtained from processes executed by a perceptron, data on the configuration of said perceptron for the execution, in succession, of sub-processes of a tree-structured process, each of said sub-processes being defined, without external intervention on said neural module, by the decision result of a previously executed sub-process, and wherein the implementation of said perceptron with at least two processing elements connected in series allows a plurality of sub-processes to be executed with at least a partial time overlap
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