# x × (-1)

• x

• the opposite

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 x: 5
 the opposite: -5
2.
 x: -99
 the opposite: 99
3.
 x: 0
 the opposite: 0

## Applicable neurons

• Multiple (x × y)
• -1
• 10
• tag title
• Connect - two words (with space)
• [a, b)
• word 11

## Algorithm

### Test

```/**
* character -:
*
* @return {Array}
*/
function neuron511()
{
return['-'];
}

/**
* 1:
*
* @return {Array}
*/
function neuron501()
{
return [1];
}

/**
* Connect - two inputs:
*
* @param x1 Variable A
* @param x2 Variable B
* @return {Array}
*/
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}

/**
* -1:
*
* @return {Array}
*/
function neuron574()
{
var outputs = [];

arr = neuron511();
outputs[0] = arr[0];

arr = neuron501();
outputs[1] = arr[0];

arr = neuron520(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 × (-1):
*
* @param x1 x
* @return {Array}
*/
function neuron710(x1)
{
var outputs = [];
outputs[0] = x1;

arr = neuron574();
outputs[1] = arr[0];

arr = neuron3(outputs[0], outputs[1]);
outputs[2] = arr[0];

return[outputs[2]];
}

```