ax + b = 0

Patterns

Applicable neurons

• Plus (x + y)
• Minus (x - y)
• Division (x ÷ y)
• constant x.xxxxx
• character ≥
• empty string
• word 56

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()];
}

/**
 * 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()];
}

/**
 * ax + b = 0: 
 * 
 * @param x1 a
 * @param x2 b
 * @return {Array}
 */
function neuron578(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

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

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

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

  return[outputs[4]];
}