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/*! For license information please see bundle.731f9.esm.js.LICENSE.txt */

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/*! For license information please see bundle.f8e13.esm.js.LICENSE.txt */

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<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><title>Appunti Web</title><meta name="viewport" content="width=device-width,initial-scale=1"><meta name="mobile-web-app-capable" content="yes"><meta name="apple-mobile-web-app-capable" content="yes"><link rel="apple-touch-icon" href="./assets/icons/apple-touch-icon.png"><link rel="manifest" href="/manifest.json"><meta name="theme-color" content="#a0ccff"><link rel="shortcut icon" href="/favicon.ico"><style>*{box-sizing:border-box}body{background-color:#0d193b;color:#a0ccff;font-family:Arial,sans-serif}</style><link href="/bundle.0c633.css" rel="preload" as="style" onload="this.rel='stylesheet'"><noscript><link rel="stylesheet" href="/bundle.0c633.css"></noscript></head><body><script type="__PREACT_CLI_DATA__">{"preRenderData":{"url":"/"}}</script><script nomodule="">!function(){var e=document,t=e.createElement("script");if(!("noModule"in t)&&"onbeforeload"in t){var n=!1;e.addEventListener("beforeload",function(e){if(e.target===t)n=!0;else if(!e.target.hasAttribute("nomodule")||!n)return;e.preventDefault()},!0),t.type="module",t.src=".",e.head.appendChild(t),t.remove()}}();</script><script crossorigin="anonymous" src="/bundle.f8e13.esm.js" type="module"></script><script nomodule="" src="/polyfills.98048.js"></script><script nomodule="" defer="defer" src="/bundle.49259.js"></script></body></html>
<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><title>Appunti Web</title><meta name="viewport" content="width=device-width,initial-scale=1"><meta name="mobile-web-app-capable" content="yes"><meta name="apple-mobile-web-app-capable" content="yes"><link rel="apple-touch-icon" href="./assets/icons/apple-touch-icon.png"><link rel="manifest" href="/manifest.json"><meta name="theme-color" content="#a0ccff"><link rel="shortcut icon" href="/favicon.ico"><style>*{box-sizing:border-box}body{background-color:#0d193b;color:#a0ccff;font-family:Arial,sans-serif}</style><link href="/bundle.0c633.css" rel="preload" as="style" onload="this.rel='stylesheet'"><noscript><link rel="stylesheet" href="/bundle.0c633.css"></noscript></head><body><script type="__PREACT_CLI_DATA__">{"preRenderData":{"url":"/"}}</script><script nomodule="">!function(){var e=document,t=e.createElement("script");if(!("noModule"in t)&&"onbeforeload"in t){var n=!1;e.addEventListener("beforeload",function(e){if(e.target===t)n=!0;else if(!e.target.hasAttribute("nomodule")||!n)return;e.preventDefault()},!0),t.type="module",t.src=".",e.head.appendChild(t),t.remove()}}();</script><script crossorigin="anonymous" src="/bundle.731f9.esm.js" type="module"></script><script nomodule="" src="/polyfills.b70a1.js"></script><script nomodule="" defer="defer" src="/bundle.2ef69.js"></script></body></html>

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{
"private": true,
"name": "appuntiweb",
"version": "0.3.10",
"version": "0.3.11",
"license": "AGPL-3.0-or-later",
"scripts": {
"start": "preact watch",

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@ -351,6 +351,9 @@ export default function(props) {
<p>
Tra le altre cose, <b>proibisce sinapsi entranti e uscenti dallo stesso neurone</b>.
</p>
<p>
Non è molto avanzato e funzionale, ma incentiva ulteriori studi nel campo.
</p>
</Panel>
<TablePanel>
<thead>
@ -369,7 +372,7 @@ export default function(props) {
<td>Numero di un neurone specifico</td>
</tr>
<tr>
<td><BLatex>{r`w_nm`}</BLatex></td>
<td><BLatex>{r`w_{nm}`}</BLatex></td>
<td>Intensità della sinapsi diretta da <ILatex>{r`n`}</ILatex> verso <ILatex>{r`m`}</ILatex></td>
</tr>
<tr>
@ -442,6 +445,32 @@ export default function(props) {
<Todo>TODO: Dopo ci sono tante dimostrazioni...</Todo>
</p>
</Panel>
<Panel title={"Overlap di due pattern"}>
<p>
Il numero di neuroni attivati in entrambi i pattern.
</p>
<PLatex>{r`
Q(A, B) = \sum_{i = 1}^n A_i B_i
`}</PLatex>
</Panel>
<Panel title={"Interferenza"}>
<p>
Più pattern vengono imparati da un modello, più è facile che essi interferiscano tra loro.
</p>
<p>
In caso di pattern completamente scorrelati tra loro, il limite di pattern imparabili è circa:
</p>
<PLatex>
{r`0.14 \cdot N`}
</PLatex>
</Panel>
</Section>
<Section title={"Modello a percettroni"}>
<Panel title={"Cos'è?"}>
<p>
Un modello di rete neurale che supporta l'apprendimento e che presenta <b>più strati di neuroni</b> (detti <i>percettroni</i>).
</p>
</Panel>
</Section>
</div>
)