Distance between two points (2d)

Patterns

Applicable neurons

• Minus (x - y)
• right angled triangle, find Hypotenuse c, given a, b
• Rounding to whole thousands of something
• Rounding to whole ten thousands of something
• character e
• Hello world.
• character )
• is x < 0 ?
• logical riddle 5+25
• (x)(y)
• abc

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()];
}

/**
 * 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 to the 2 (x²): x squared
 * 
 * @param x1 Number X
 * @return {Array}
 */
function neuron7(x1)
{
  var outputs = [];
  outputs[0] = x1;

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

  return[outputs[1]];
}


/**
 * 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()];
}

/**
 * 5: 
 *
 * @return {Array}
 */
function neuron505()
{
return [5];
}

/**
 * character .: 
 *
 * @return {Array}
 */
function neuron510()
{
return['.'];
}

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

/**
 * Half (0.5): 
 * 
 * @return {Array}
 */
function neuron522()
{
  var outputs = [];

  arr = neuron505();
  outputs[0] = arr[0];

  arr = neuron510();
  outputs[1] = arr[0];

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

  return[outputs[2]];
}


/**
 * x to the a  (xª): value of the number x to be the power of a
 *
 * @param x1 x - The base
 * @param x2 a - The exponent
 * @return {Array}
 */
function neuron18(x1, x2)
{
return[Math.pow(Number(x1), Number(x2))];
}

/**
 * Square root (√¯): 
 * 
 * @param x1 Number X
 * @return {Array}
 */
function neuron554(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron522();
  outputs[1] = arr[0];

  arr = neuron18(outputs[0], outputs[1]);
  outputs[2] = arr[0];

  return[outputs[2]];
}


/**
 * right angled triangle, find Hypotenuse c, given a, b: 
 * 
 * @param x1 a
 * @param x2 b
 * @return {Array}
 */
function neuron615(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron7(outputs[0]);
  outputs[2] = arr[0];

  arr = neuron7(outputs[1]);
  outputs[3] = arr[0];

  arr = neuron1(outputs[3], outputs[2]);
  outputs[4] = arr[0];

  arr = neuron554(outputs[4]);
  outputs[5] = arr[0];

  return[outputs[5]];
}


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

/**
 * 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()];
}

/**
 * Connect - four inputs: 
 * 
 * @param x1 string A
 * @param x2 string B
 * @param x3 string C
 * @param x4 string D
 * @return {Array}
 */
function neuron565(x1, x2, x3, x4)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;
  outputs[3] = x4;

  arr = neuron520(outputs[2], outputs[3]);
  outputs[4] = arr[0];

  arr = neuron520(outputs[1], outputs[4]);
  outputs[5] = arr[0];

  arr = neuron520(outputs[0], outputs[5]);
  outputs[6] = arr[0];

  return[outputs[6]];
}


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

/**
 * Connect - five inputs: 
 * 
 * @param x1 1
 * @param x2 2
 * @param x3 3
 * @param x4 4
 * @param x5 5
 * @return {Array}
 */
function neuron651(x1, x2, x3, x4, x5)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;
  outputs[3] = x4;
  outputs[4] = x5;

  arr = neuron565(outputs[1], outputs[2], outputs[3], outputs[4]);
  outputs[5] = arr[0];

  arr = neuron520(outputs[0], outputs[5]);
  outputs[6] = arr[0];

  return[outputs[6]];
}


/**
 * 10000: 
 * 
 * @return {Array}
 */
function neuron706()
{
  var outputs = [];

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

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

  arr = neuron651(outputs[1], outputs[0], outputs[0], outputs[0], outputs[0]);
  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()];
}

/**
 * Round to an integer: round(x)
 *
 * @param x1 Value
 * @return {Array}
 */
function neuron620(x1)
{
return[Math.round(Number(x1))]
}

/**
 * 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()];
}

/**
 * Rounding to whole ten thousands of something: 
 * 
 * @param x1 Value
 * @return {Array}
 */
function neuron705(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron706();
  outputs[1] = arr[0];

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

  arr = neuron620(outputs[2]);
  outputs[3] = arr[0];

  arr = neuron17(outputs[3], outputs[1]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


/**
 * Distance between two points (2d): 
 * 
 * @param x1 Point A: xa
 * @param x2 Point A: ya
 * @param x3 Point B: xb
 * @param x4 Point B: yb
 * @return {Array}
 */
function neuron658(x1, x2, x3, x4)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;
  outputs[3] = x4;

  arr = neuron2(outputs[1], outputs[3]);
  outputs[4] = arr[0];

  arr = neuron2(outputs[2], outputs[0]);
  outputs[5] = arr[0];

  arr = neuron615(outputs[5], outputs[4]);
  outputs[6] = arr[0];

  arr = neuron705(outputs[6]);
  outputs[7] = arr[0];

  return[outputs[7]];
}