Description
2+3=10
7+2=63
6+5=66
8+4=96
9+7=?
Inputs
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
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2. |
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3. |
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4. |
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Applicable neurons
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Plus (x + y)
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Minus (x - y)
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Multiple (x × y)
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Division (x ÷ y)
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Absolute value
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Half of number
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is it even?
-
character i
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character (
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\\n
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Half of number
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Width of persons
Algorithm
Test
Code made by AI:
/**
* 2:
*
* @return {Array}
*/
function neuron502()
{
return [2];
}
/**
* Division (x ÷ y): X / Y
*
* @param x1 first number
* @param x2 second number
* @return {Array}
*/
function neuron17(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '/'+Number(x2)).toString()];
}
/**
* Round to an integer: round(x)
*
* @param x1 Value
* @return {Array}
*/
function neuron620(x1)
{
return[Math.round(Number(x1))]
}
/**
* a = b: IF a=b THEN 1 ELSE 0;
*
* @param x1 a
* @param x2 b
* @return {Array}
*/
function neuron591(x1, x2)
{
return [(x1 == x2) ? 1 : 0];
}
/**
* is it even?:
*
* @param x1 Number
* @return {Array}
*/
function neuron848(x1)
{
var outputs = [];
outputs[0] = x1;
arr = neuron502();
outputs[1] = arr[0];
arr = neuron17(outputs[0], outputs[1]);
outputs[2] = arr[0];
arr = neuron620(outputs[2]);
outputs[3] = arr[0];
arr = neuron591(outputs[2], outputs[3]);
outputs[4] = arr[0];
return[outputs[4]];
}
/**
* Plus (x + y): The addition of two whole numbers is the total amount of those quantities combined.
*
* @param x1 first number
* @param x2 second number
* @return {Array}
*/
function neuron1(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '+'+Number(x2)).toString()];
}
/**
* 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()];
}
/**
* Division (x ÷ y): X / Y
*
* @param x1 first number
* @param x2 second number
* @return {Array}
*/
function neuron17(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '/'+Number(x2)).toString()];
}
/**
* 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]];
}
/**
* 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()];
}
/**
* Half of number:
*
* @param x1 Number
* @return {Array}
*/
function neuron845(x1)
{
var outputs = [];
outputs[0] = x1;
arr = neuron522();
outputs[1] = arr[0];
arr = neuron3(outputs[0], outputs[1]);
outputs[2] = arr[0];
return[outputs[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()];
}
/**
* x to the 2 (x²): x squared
*
* @param x1 Number X
* @return {Array}
*/
function neuron7(x1)
{
var outputs = [];
outputs[0] = x1;
arr = neuron3(outputs[0], outputs[0]);
outputs[1] = arr[0];
return[outputs[1]];
}
/**
* 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]];
}
/**
* Absolute value:
*
* @param x1 Number
* @return {Array}
*/
function neuron570(x1)
{
var outputs = [];
outputs[0] = x1;
arr = neuron7(outputs[0]);
outputs[1] = arr[0];
arr = neuron554(outputs[1]);
outputs[2] = arr[0];
return[outputs[2]];
}
/**
* logical riddle 9+7: 2+3=10
7+2=63
6+5=66
8+4=96
9+7=?
*
* @param x1 2
* @param x2 3
* @return {Array}
*/
function neuron927(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
arr = neuron848(outputs[0]);
outputs[2] = arr[0];
arr = neuron1(outputs[0], outputs[1]);
outputs[3] = arr[0];
arr = neuron3(outputs[2], outputs[1]);
outputs[4] = arr[0];
arr = neuron3(outputs[3], outputs[0]);
outputs[5] = arr[0];
arr = neuron17(outputs[2], outputs[4]);
outputs[6] = arr[0];
arr = neuron3(outputs[4], outputs[5]);
outputs[7] = arr[0];
arr = neuron17(outputs[5], outputs[7]);
outputs[8] = arr[0];
arr = neuron17(outputs[3], outputs[8]);
outputs[9] = arr[0];
arr = neuron1(outputs[0], outputs[1]);
outputs[10] = arr[0];
arr = neuron845(outputs[6]);
outputs[11] = arr[0];
arr = neuron570(outputs[11]);
outputs[12] = arr[0];
return[outputs[5]];
}
Code made by AI: