mat 33/1

Patterns

Applicable neurons

• Plus (x + y)
• Minus (x - y)
• Multiple (x × y)
• Division (x ÷ y)
• Absolute value
• Half of number
• is it even?
• Is it odd?
• Average
• Torque
• name into start tag
• x² - y² = 0 (by x)

Algorithm

Test

/**
 * Minus (x - y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron2(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()];
}

/**
 * mat 33/1: 
 * 
 * @param x1 cislo 1
 * @param x2 cislo 2
 * @return {Array}
 */
function neuron907(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron2(outputs[1], outputs[1]);
  outputs[2] = arr[0];

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

  return[outputs[3]];
}