Simple interest

Patterns

Applicable neurons

• Plus (x + y)
• Multiple (x × y)
• 1
• Percentage (X% / 100)

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]];
}


/**
 * 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()];
}

/**
 * Percentage (X% / 100): 
 * 
 * @param x1 Number in percentage
 * @return {Array}
 */
function neuron536(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron537();
  outputs[1] = arr[0];

  arr = neuron17(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()];
}

/**
 * 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()];
}

/**
 * Simple interest: 
 * 
 * @param x1 principal amount
 * @param x2 rate of interest (annual) [%]
 * @param x3 number of years
 * @return {Array}
 */
function neuron535(x1, x2, x3)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;

  arr = neuron536(outputs[1]);
  outputs[3] = arr[0];

  arr = neuron3(outputs[0], outputs[2]);
  outputs[4] = arr[0];

  arr = neuron3(outputs[4], outputs[3]);
  outputs[5] = arr[0];

  arr = neuron1(outputs[0], outputs[5]);
  outputs[6] = arr[0];

  return[outputs[6]];
}