x × (-1)

Patterns

Applicable neurons

• Multiple (x × y)
• -1
• Pi (π) 3.14
• Distance (by Torque, Force)
• x² - y² = 0 (by y)
• Sentence to question
• 60
• empty string change into zero
• (x|y)
• character *
• word and
• First child X position

Algorithm

Test

/**
 * character -: 
 *
 * @return {Array}
 */
function neuron511()
{
return['-'];
}

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

/**
 * 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 neuron574()
{
  var outputs = [];

  arr = neuron511();
  outputs[0] = arr[0];

  arr = neuron501();
  outputs[1] = arr[0];

  arr = neuron520(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()];
}

/**
 * x × (-1): 
 * 
 * @param x1 x
 * @return {Array}
 */
function neuron710(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron574();
  outputs[1] = arr[0];

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

  return[outputs[2]];
}