-a + b; -a - b

Inputs

  • a
  • b

Outputs

  • -a + b
  • -a - b

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
a: 1
b: 2
-a + b: 1
-a - b: -3
2.
a: 0
b: 0
-a + b: 0
-a - b: 0
3.
a: 2
b: 1
-a + b: -1
-a - b: -3
4.
a: -1
b: 1
-a + b: 2
-a - b: 0

Applicable neurons

  • Plus (x + y)
  • Minus (x - y)
  • x × (-1)
  • a + b; a - b
  • Sum of complex numbers
  • character <
  • right angled triangle, find Hypotenuse c, given a, b
  • character c
  • tag img
  • get month from date (yyyy-mm-dd)
  • get day from date (yyyy-mm-dd)

Algorithm

Test

Code made by AI:
/**
 * 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()];
}

/**
 * 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()];
}

/**
 * a + b; a - b: 
 * 
 * @param x1 a
 * @param x2 b
 * @return {Array}
 */
function neuron717(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

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

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

  return[outputs[2], outputs[3]];
}


/**
 * 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]];
}


/**
 * -a + b; -a - b: 
 * 
 * @param x1 a
 * @param x2 b
 * @return {Array}
 */
function neuron798(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron717(outputs[1], outputs[0]);
  outputs[2] = arr[0];

;   outputs[3] = arr[1];

  arr = neuron710(outputs[2]);
  outputs[4] = arr[0];

  return[outputs[3], outputs[4]];
}


Code made by AI:

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