Inputs
-
Price of calculation
-
Are windows defective? (1/0)
-
Price of repair windows
-
Are walls defective? (1/0)
-
Price of repair walls
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
Price of calculation: |
10 |
Are windows defective? (1/0): |
0 |
Price of repair windows: |
500 |
Are walls defective? (1/0): |
0 |
Price of repair walls: |
700 |
|
|
2. |
Price of calculation: |
12 |
Are windows defective? (1/0): |
1 |
Price of repair windows: |
700 |
Are walls defective? (1/0): |
0 |
Price of repair walls: |
1200 |
|
|
3. |
Price of calculation: |
7 |
Are windows defective? (1/0): |
1 |
Price of repair windows: |
20 |
Are walls defective? (1/0): |
1 |
Price of repair walls: |
30 |
|
|
4. |
Price of calculation: |
2 |
Are windows defective? (1/0): |
0 |
Price of repair windows: |
50 |
Are walls defective? (1/0): |
1 |
Price of repair walls: |
60 |
|
|
Applicable neurons
-
Plus (x + y)
-
Destroyed building (windows, walls)
-
100
-
10
-
Distance between two points (3d)
-
character ]
-
\\d
-
Contains string any digit?
-
select .... order by .... asc (A, B, C)
-
convert seconds into hours, minutes and seconds
-
mat 33/1
Algorithm
Test
Code made by AI:
/**
* 1:
*
* @return {Array}
*/
function neuron501()
{
return [1];
}
/**
* 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];
}
/**
* IF: IF a THEN b ELSE c;
*
* @param x1 condition (1/0)
* @param x2 variable for 1
* @param x3 variable for 0
* @return {Array}
*/
function neuron579(x1, x2, x3)
{
return [(x1) ? x2 : x3];
}
/**
* Destroyed building (windows):
*
* @param x1 Are windows defective? (1/0)
* @param x2 Price of repair windows
* @return {Array}
*/
function neuron598(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
arr = neuron501();
outputs[2] = arr[0];
arr = neuron591(outputs[2], outputs[0]);
outputs[3] = arr[0];
arr = neuron579(outputs[3], outputs[1], 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()];
}
/**
* Destroyed building (windows, walls):
*
* @param x1 Are windows defective? (1/0)
* @param x2 Price of repair windows
* @param x3 Are walls defective? (1/0)
* @param x4 Price of repair walls
* @return {Array}
*/
function neuron599(x1, x2, x3, x4)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;
arr = neuron598(outputs[2], outputs[3]);
outputs[4] = arr[0];
arr = neuron598(outputs[0], outputs[1]);
outputs[5] = arr[0];
arr = neuron1(outputs[4], outputs[5]);
outputs[6] = arr[0];
return[outputs[6]];
}
/**
* 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()];
}
/**
* Destroyed building (calculation, windows, walls):
*
* @param x1 Price of calculation
* @param x2 Are windows defective? (1/0)
* @param x3 Price of repair windows
* @param x4 Are walls defective? (1/0)
* @param x5 Price of repair walls
* @return {Array}
*/
function neuron600(x1, x2, x3, x4, x5)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;
outputs[4] = x5;
arr = neuron599(outputs[1], outputs[2], outputs[3], outputs[4]);
outputs[5] = arr[0];
arr = neuron1(outputs[5], outputs[0]);
outputs[6] = arr[0];
return[outputs[6]];
}
Code made by AI: