function start()
{
$neuralNetwork = new NeuralNetworkHopfield(9);
$trainingDatas = prepareTrainingDatas();
$neuralNetwork->learn($trainingDatas);
test($neuralNetwork);
}
function start()
{
$neuron = new NeuronSigmoidal(2);
$trainingDatas = prepareTrainingDatas();
learn($neuron, $trainingDatas);
test($neuron);
//echo $neuralNetwork->calculate([1]);
//echo '<pre>'.print_r($neuralNetwork, true).'</pre>';
}
function start()
{
$neuralNetwork = new NeuralNetwork(1, [3, 1]);
$trainingDatas = prepareTrainingDatas();
learn($neuralNetwork, $trainingDatas);
test($neuralNetwork);
//echo $neuralNetwork->calculate([1]);
//echo '<pre>'.print_r($neuralNetwork, true).'</pre>';
}
function test(NeuralNetwork $neuralNetwork)
{
$trainingDatas = prepareTrainingDatas();
foreach (NUMBERS as $number) {
?>
<div class="displays"><?php
?>
<div class="display"><?php
foreach ($number as $v) {
?>
<div class="display-pixel" style="opacity: <?php
echo ($v + 1) / 2;
?>
"></div><?php
}
?>
</div><?php
?>
<div class="display"><?php
foreach ($neuralNetwork->calculate($number) as $v) {
?>
<div class="display-pixel" style="opacity: <?php
echo ($v + 1) / 2;
?>
"></div><?php
}
?>
</div><?php
?>
</div><?php
}
?>
<div class="graphs">
<div class="graphNetwork" data-data="<?php
echo htmlspecialchars(json_encode($neuralNetwork->toArray()), ENT_QUOTES, 'UTF-8');
?>
"></div>
</div>
<script>draw()</script>
<?php
}
