• Degrees

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 Degrees: 401.07
2.
 Degrees: 286.479

## Applicable neurons

• Multiple (x × y)
• Division (x ÷ y)
• 180
• Pi (π) - 3.141592653589793

## Algorithm

### Test

```/**
* 0:
*
* @return {Array}
*/
function neuron500()
{
return [0];
}

/**
* 8:
*
* @return {Array}
*/
function neuron508()
{
return [8];
}

/**
* 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 neuron501()
{
return [1];
}

/**
* 180:
*
* @return {Array}
*/
function neuron559()
{
var outputs = [];

arr = neuron500();
outputs[0] = arr[0];

arr = neuron508();
outputs[1] = arr[0];

arr = neuron520(outputs[1], outputs[0]);
outputs[2] = arr[0];

arr = neuron501();
outputs[3] = arr[0];

arr = neuron520(outputs[3], outputs[2]);
outputs[4] = arr[0];

return[outputs[4]];
}

/**
* Pi (π) - 3.141592653589793:
*
* @return {Array}
*/
function neuron560()
{
math.config({number: 'BigNumber', precision: 64}); return[math.PI]; /* return [3.141592653589793] */
}

/**
* 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()];
}

/**
* 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()];
}

/**
*
* @return {Array}
*/
function neuron558(x1)
{
var outputs = [];
outputs[0] = x1;

arr = neuron559();
outputs[1] = arr[0];

arr = neuron560();
outputs[2] = arr[0];

arr = neuron17(outputs[1], outputs[2]);
outputs[3] = arr[0];

arr = neuron3(outputs[0], outputs[3]);
outputs[4] = arr[0];

return[outputs[4]];
}

```