Inputs
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
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2. |
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Applicable neurons
-
x to the a (xª)
-
Half (0.5)
Algorithm
Test
Code made by AI:
/**
* 5:
*
* @return {Array}
*/
function neuron505()
{
return [5];
}
/**
* character .:
*
* @return {Array}
*/
function neuron510()
{
return['.'];
}
/**
* Connect - two inputs:
*
* @param x1 Variable A
* @param x2 Variable B
* @return {Array}
*/
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}
/**
* Half (0.5):
*
* @return {Array}
*/
function neuron522()
{
var outputs = [];
arr = neuron505();
outputs[0] = arr[0];
arr = neuron510();
outputs[1] = arr[0];
arr = neuron520(outputs[1], outputs[0]);
outputs[2] = arr[0];
return[outputs[2]];
}
/**
* x to the a (xª): value of the number x to be the power of a
*
* @param x1 x - The base
* @param x2 a - The exponent
* @return {Array}
*/
function neuron18(x1, x2)
{
return[Math.pow(Number(x1), Number(x2))];
}
/**
* Square root (√¯):
*
* @param x1 Number X
* @return {Array}
*/
function neuron554(x1)
{
var outputs = [];
outputs[0] = x1;
arr = neuron522();
outputs[1] = arr[0];
arr = neuron18(outputs[0], outputs[1]);
outputs[2] = arr[0];
return[outputs[2]];
}
Code made by AI: