Inputs
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
1: |
1 |
2: |
2 |
3: |
3 |
4: |
4 |
5: |
5 |
6: |
6 |
|
|
2. |
1: |
9 |
2: |
8 |
3: |
7 |
4: |
6 |
5: |
5 |
6: |
4 |
|
|
3. |
1: |
7 |
2: |
6 |
3: |
5 |
4: |
4 |
5: |
3 |
6: |
2 |
|
|
Applicable neurons
-
Connect - two inputs
-
constant x.xxxx
-
NOR
-
√¯(a² + b² + c²)
-
Is it integer?
Algorithm
Test
Code made by AI:
/**
* Connect - two inputs:
*
* @param x1 Variable A
* @param x2 Variable B
* @return {Array}
*/
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}
/**
* Connect - two inputs:
*
* @param x1 Variable A
* @param x2 Variable B
* @return {Array}
*/
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}
/**
* 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]];
}
/**
* constant x.xx:
*
* @param x1 1
* @param x2 2
* @param x3 3
* @return {Array}
*/
function neuron711(x1, x2, x3)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
arr = neuron520(outputs[1], outputs[2]);
outputs[3] = arr[0];
arr = neuron539(outputs[0], outputs[3]);
outputs[4] = arr[0];
return[outputs[4]];
}
/**
* constant x.xxx:
*
* @param x1 1
* @param x2 2
* @param x3 3
* @param x4 4
* @return {Array}
*/
function neuron712(x1, x2, x3, x4)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;
arr = neuron520(outputs[2], outputs[3]);
outputs[4] = arr[0];
arr = neuron711(outputs[0], outputs[1], outputs[4]);
outputs[5] = arr[0];
return[outputs[5]];
}
/**
* Connect - two inputs:
*
* @param x1 Variable A
* @param x2 Variable B
* @return {Array}
*/
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}
/**
* constant x.xxxx:
*
* @param x1 1
* @param x2 2
* @param x3 3
* @param x4 4
* @param x5 5
* @return {Array}
*/
function neuron713(x1, x2, x3, x4, x5)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;
outputs[4] = x5;
arr = neuron712(outputs[0], outputs[1], outputs[2], outputs[3]);
outputs[5] = arr[0];
arr = neuron520(outputs[5], outputs[4]);
outputs[6] = arr[0];
return[outputs[6]];
}
/**
* constant x.xxxxx:
*
* @param x1 1
* @param x2 2
* @param x3 3
* @param x4 4
* @param x5 5
* @param x6 6
* @return {Array}
*/
function neuron714(x1, x2, x3, x4, x5, x6)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;
outputs[4] = x5;
outputs[5] = x6;
arr = neuron520(outputs[1], outputs[2]);
outputs[6] = arr[0];
arr = neuron713(outputs[0], outputs[6], outputs[3], outputs[4], outputs[5]);
outputs[7] = arr[0];
return[outputs[7]];
}
Code made by AI: