Inputs
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
|
|
2. |
|
|
Applicable neurons
-
Multiple (x × y)
-
2
-
Pi (π) 3.14
Algorithm
Test
Code made by AI:
/**
* 4:
*
* @return {Array}
*/
function neuron504()
{
return [4];
}
/**
* 3:
*
* @return {Array}
*/
function neuron503()
{
return [3];
}
/**
* 1:
*
* @return {Array}
*/
function neuron501()
{
return [1];
}
/**
* Connect - two inputs:
*
* @param x1 Variable A
* @param x2 Variable B
* @return {Array}
*/
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}
/**
* 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()];
}
/**
* constant x.x: Connect two numbers to number with a decimal point
*
* @param x1 Number before the decimal point
* @param x2 Number after the decimal point
* @return {Array}
*/
function neuron539(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
arr = neuron510();
outputs[2] = arr[0];
arr = neuron520(outputs[0], outputs[2]);
outputs[3] = arr[0];
arr = neuron520(outputs[3], outputs[1]);
outputs[4] = arr[0];
return[outputs[4]];
}
/**
* Pi (π) 3.14:
*
* @return {Array}
*/
function neuron521()
{
var outputs = [];
arr = neuron504();
outputs[0] = arr[0];
arr = neuron503();
outputs[1] = arr[0];
arr = neuron501();
outputs[2] = arr[0];
arr = neuron520(outputs[2], outputs[0]);
outputs[3] = arr[0];
arr = neuron539(outputs[1], outputs[3]);
outputs[4] = arr[0];
return[outputs[4]];
}
/**
* 2:
*
* @return {Array}
*/
function neuron502()
{
return [2];
}
/**
* Multiple (x × y):
*
* @param x1 Number X
* @param x2 Number Y
* @return {Array}
*/
function neuron3(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '*'+Number(x2)).toString()];
}
/**
* circle - Perimeter (by radius):
*
* @param x1 radius
* @return {Array}
*/
function neuron552(x1)
{
var outputs = [];
outputs[0] = x1;
arr = neuron521();
outputs[1] = arr[0];
arr = neuron502();
outputs[2] = arr[0];
arr = neuron3(outputs[0], outputs[2]);
outputs[3] = arr[0];
arr = neuron3(outputs[1], outputs[3]);
outputs[4] = arr[0];
return[outputs[4]];
}
Code made by AI: