NAND

Inputs

  • 1/0
  • 1/0

Outputs

  • NAND

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
1/0: 0
1/0: 0
NAND: 1
2.
1/0: 0
1/0: 1
NAND: 1
3.
1/0: 1
1/0: 0
NAND: 1
4.
1/0: 1
1/0: 1
NAND: 0

Applicable neurons

  • Plus (x + y)
  • Minus (x - y)
  • Multiple (x × y)
  • Division (x ÷ y)
  • 0
  • 1
  • Absolute value

Algorithm

Test

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

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

/**
 * 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()];
}

/**
 * NAND: 
 * 
 * @param x1 1/0
 * @param x2 1/0
 * @return {Array}
 */
function neuron572(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

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

  arr = neuron501();
  outputs[3] = arr[0];

  arr = neuron2(outputs[3], outputs[2]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


Code made by AI:

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