Price without VAT

Patterns

Applicable neurons

• Plus (x + y)
• Minus (x - y)
• Multiple (x × y)
• Division (x ÷ y)
• 100
• Sum of complex numbers
• Volume Of a Cone
• 180
• character l
• constant x.xx
• character g
• character f

Algorithm

Test

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

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

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

/**
 * 100: 
 * 
 * @return {Array}
 */
function neuron537()
{
  var outputs = [];

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

  arr = neuron500();
  outputs[1] = arr[0];

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

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

  return[outputs[3]];
}


/**
 * 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()];
}

/**
 * Plus (x + y): The addition of two whole numbers is the total amount of those quantities combined.
 *
 * @param x1 first number
 * @param x2 second number
 * @return {Array}
 */
function neuron1(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '+'+Number(x2)).toString()];
}

/**
 * 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()];
}

/**
 * Price without VAT: 
 * 
 * @param x1 Price with VAT
 * @param x2 VAT
 * @return {Array}
 */
function neuron654(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron537();
  outputs[2] = arr[0];

  arr = neuron3(outputs[2], outputs[0]);
  outputs[3] = arr[0];

  arr = neuron1(outputs[2], outputs[1]);
  outputs[4] = arr[0];

  arr = neuron17(outputs[3], outputs[4]);
  outputs[5] = arr[0];

  return[outputs[5]];
}