# Absolute value

• Number

## Outputs

• Absolute value

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 Number: 145
 Absolute value: 145
2.
 Number: -4123.2
 Absolute value: 4123.2

## Applicable neurons

• Multiple (x × y)
• x to the 2 (x²)
• Division (x ÷ y)
• Square root (√¯)

## Algorithm

### Test

Code made by AI:
```/**
* 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]];
}

```
Code made by AI: