# Volume Of a Pyramid

• Base
• Height

## Outputs

• Volume Of Pyramid

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 Base: 3 Height: 5
 Volume Of Pyramid: 5
2.
 Base: 15 Height: 2
 Volume Of Pyramid: 10

## Applicable neurons

• Plus (x + y)
• Multiple (x × y)
• Division (x ÷ y)
• 3

## Algorithm

### Test

```/**
* 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()];
}

/**
* 3:
*
* @return {Array}
*/
function neuron503()
{
return [3];
}

/**
* 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()];
}

/**
* Volume Of a Pyramid:
*
* @param x1 Base
* @param x2 Height
* @return {Array}
*/
function neuron542(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;

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

arr = neuron503();
outputs[3] = arr[0];

arr = neuron17(outputs[2], outputs[3]);
outputs[4] = arr[0];

return[outputs[4]];
}

```