10000

Inputs

Outputs

  • Word

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1
Word: 10000

Applicable neurons

  • 0
  • 1
  • Connect - five inputs
  • Radians into degrees
  • character :
  • 1000
  • delete a period at the end of a sentence
  • (a, b)
  • character ≠
  • character !
  • word 11
  • Half of number

Algorithm

Test

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


Code made by AI:

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