Inputs
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
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2. |
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Applicable neurons
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Plus (x + y)
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Minus (x - y)
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Multiple (x × y)
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Division (x ÷ y)
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1
-
Absolute value
Algorithm
Test
Code made by AI:
/**
* 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()];
}
/**
* 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()];
}
/**
* OR:
*
* @param x1 1/0
* @param x2 1/0
* @return {Array}
*/
function neuron568(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
arr = neuron2(outputs[0], outputs[1]);
outputs[2] = arr[0];
arr = neuron3(outputs[0], outputs[2]);
outputs[3] = arr[0];
arr = neuron1(outputs[3], outputs[1]);
outputs[4] = arr[0];
return[outputs[4]];
}
Code made by AI: