http://www.colloquiam.com/wd/index.php?action=history&feed=atom&title=Franco_Steiner_2017aFranco Steiner 2017a - Revision history2026-06-10T10:10:28ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10http://www.colloquiam.com/wd/index.php?title=Franco_Steiner_2017a&diff=237651&oldid=prevDavid.franco: David.franco moved page Draft Franco 639941888 to Franco Steiner 2017a2022-03-20T16:01:07Z<p>David.franco moved page <a href="/public/Draft_Franco_639941888" class="mw-redirect" title="Draft Franco 639941888">Draft Franco 639941888</a> to <a href="/public/Franco_Steiner_2017a" title="Franco Steiner 2017a">Franco Steiner 2017a</a></p>
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</td></tr></table>David.francohttp://www.colloquiam.com/wd/index.php?title=Franco_Steiner_2017a&diff=237650&oldid=prevDavid.franco: Created page with " == Abstract == In this paper we proposed two new strategies for initialization and training of Radial Basis Function (RBF) Neural Network. The first approach takes into cons..."2022-03-20T16:01:05Z<p>Created page with " == Abstract == In this paper we proposed two new strategies for initialization and training of Radial Basis Function (RBF) Neural Network. The first approach takes into cons..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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In this paper we proposed two new strategies for initialization and training of Radial Basis Function (RBF) Neural Network. The first approach takes into consideration the 'error' between the input vector p of the network and the x-axis, which are the centers of radial functions. The second approach takes into account the 'error' between the input vector p and the network output. In order to check the performances of these strategies, we used Brazilian financial market data for the RBF networks training, specifically the adjusted prices of the 10 greater weighted shares in the Bovespa index at the time of data collection – from April 8<br />
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== Full document ==<br />
<pdf>Media:Draft_Franco_639941888-2690-document.pdf</pdf></div>David.franco