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&lt;h1 id=\&quot;page-title\&quot; class=\&quot;title\&quot;&gt;Introducing the Kohonen Neural Network&lt;/h1&gt;
&lt;p&gt;&lt;a href=&quot;http://www.heatonresearch.com/articles/6/page2.html\&quot;&gt;http://www.heatonresearch.com/articles/6/page2.html&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;span lang=\&quot;it\&quot;&gt;&lt;span title=\&quot;The Kohonen neural network differs considerably from the feedforward back propagation neural network.\&quot;&gt;La rete neurale Kohonen differisce notevolmente dalla rete feedforward a propagazione indietro . &lt;/span&gt;&lt;span title=\&quot;The Kohonen neural network differs both in how it is trained and how it recalls a pattern.\&quot;&gt;La rete neurale di&amp;nbsp; Kohonen differisce sia nel modo in cui si addestra sia per come&amp;nbsp; ricorda un modello. &lt;/span&gt;&lt;span title=\&quot;The Kohohen neural network does not use any sort of activation function.\&quot;&gt;La rete neurale di Kohohen non utilizza alcun tipo di funzione di attivazione. &lt;/span&gt;&lt;span title=\&quot;Further, the Kohonen neural network does not use any sort of a bias weight.\&quot;&gt;Inoltre, la rete neurale di Kohonen non utilizza alcun tipo di peso di polarizzazione.-.-&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span lang=\&quot;it\&quot;&gt;&lt;span title=\&quot;Further, the Kohonen neural network does not use any sort of a bias weight.\&quot;&gt;Vedere l\'articolo del link.&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span id=\&quot;result_box\&quot; lang=\&quot;it\&quot;&gt;&lt;span title=\&quot;When a pattern is presented to a Kohonen network one of the output neurons is selected as a &amp;quot;winner&amp;quot;.\&quot;&gt;Quando uno schema viene presentato a una rete Kohonen uno dei neuroni di output viene selezionato come \&quot;vincitore\&quot;. &lt;/span&gt;&lt;span title=\&quot;This &amp;quot;winning&amp;quot; neuron is the output from the Kohonen network.\&quot;&gt;Questo neurone \&quot;vincente\&quot; &amp;egrave; l\'uscita dalla rete Kohonen.&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span id=\&quot;result_box\&quot; lang=\&quot;it\&quot;&gt;&lt;span title=\&quot;The input to a Kohonen neural network is given to the neural network using the input neurons.\&quot;&gt;L\'ingresso a una rete neurale di Kohonen &amp;egrave; dato alla rete neurale utilizzando i neuroni di input.&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span id=\&quot;result_box\&quot; lang=\&quot;it\&quot;&gt;&lt;span title=\&quot;In a Kohonen neural network only one of the output neurons actually produces a value.\&quot;&gt;In una rete neurale Kohonen uno solo dei neuroni di uscita effettivamente un valore. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span id=\&quot;result_box\&quot; lang=\&quot;it\&quot;&gt;&lt;span title=\&quot;Additionally, this single value is either true or false.\&quot;&gt;Inoltre, questo singolo valore pu&amp;ograve; essere true o false.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

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          neurale,Kohonen, rete        

ai 5 kohonen 5 neurale 5 open 5 rete 5 wpg 5

ID: 20132 • Tipo: WPG • Reg: 2010-01-01 • Mod: 29/07/2026 20:16