Inputs
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
|
|
2. |
|
|
3. |
|
|
Applicable neurons
-
Plus (x + y)
-
Division (x ÷ y)
-
Rectangular cuboid - volume
-
Triangle - perimeter
-
ax + b = 0
-
(a, +∞)
-
decimal part of a number
-
\\D
-
middle
-
max (from 2 values)
-
time to midnight
-
select sum (A, B, C)
Algorithm
Test
Code made by AI:
/**
* 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()];
}
/**
* 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()];
}
/**
* x / 2y:
*
* @param x1 x
* @param x2 y
* @return {Array}
*/
function neuron715(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
arr = neuron1(outputs[1], outputs[1]);
outputs[2] = arr[0];
arr = neuron17(outputs[0], outputs[2]);
outputs[3] = arr[0];
return[outputs[3]];
}
Code made by AI: