Search Results: 'Kohonen'

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3 results for "Kohonen"
KB Neural Data Mining: with Python sources By Roberto Bello
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The aim of this work is to present and describe in detail the algorithms to extract the knowledge hidden inside data using Python language, which allows us to read and easily understand the nature... More > and the characteristics of the rules of the computing utilized, as opposed to what happens in commercial applications, which are available only in the form of running codes, which remain impossible to modify. The algorithms of computing contained within the work, are minutely described, documented and available in the Python source format, and serve to extract the hidden knowledge within the data whether they are textual or numerical kinds. There are also various examples of usage, underlining the characteristics, method of execution and providing comments on the obtained results.< Less
KB – Neural Data Mining con sorgenti Python By Roberto Bello
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L'opera ha per obiettivo di presentare e di descrivere nei dettagli gli algoritmi di calcolo per l'estrazione della conoscenza nascosta nei dati utilizzando il linguaggio Python, linguaggio che... More > consente di leggere e capire facilmente la natura e le caratteristiche delle regole di calcolo utilizzate, a differenza di quanto avviene per gli applicativi commerciali forniti solo nella forma di codice eseguibile che restano misteriosi ed inaccessibili a qualsiasi modifica. Gli algoritmi di calcolo contenuti nell'opera, minutamente descritti, documentati e disponibili in formato sorgente Python, hanno lo scopo di estrarre la conoscenza nascosta nei dati siano essi di tipo testuale o di tipo numerico. Sono presentati anche diversi esempi di utilizzo, evidenziandone le caratteristiche, le modalità di esecuzione e fornendo i commenti ai risultati ottenuti.< Less
Método Dialético de Busca e Otimização para Análise de Imagens de Ressonância Magnética By Wellington Pinheiro dos Santos
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Multispectral image analysis is a relatively promising field of research with applications in several areas, such as remote sensing and medical imaging. Biology, Psychology and Social Sciences are... More > intrinsically connected to the very roots of the development of algorithms and methods in Computational Intelligence. However, Philosophy appears to be still considered a sort of enigmatic knowledge, despite the power of generalization and the systematic nature of investigative methods like dialectics. Here we claim that Philosophy can be also considered as a source of inspiration. In this work we propose a new non-supervised classifier based on dialectics as defined by Hegel's works and the philosophical school of the Philosophy of Praxis, to classify synthetic multispectral magnetic resonance images. This work proved that such a classifier can reach results as good as those obtained by Kohonen's self-organized networks.< Less

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