perceptron in Artificial intelligence

Perceptron and perception are the two leading misconception that people often make perception is what the humans speak that is related to the natural language means how the humans percept.

But perceptron is a different concept perceptron is related to what weights are decided are sent to training nets and further are finalized the correct weight.

As you are famalier with the simulated annealing why it does that is taking an artificial neuron and counting the inputs based on the summation of weights of the total input's of each input say i and out can be either -1 or +1 based on the summation of weights whether it is more than or equal to 0 or less than 0 .

So now you can underatand perceptron what is perception it is training nets we can say not actually or finalized weights but arbitrary weights that depends on

1. The actual output and the desired output

2. The input vector x 

3. Ita that is the step size or the step gain .

W(t+1)=w(t)+ita(d-y)x

Here is the formula from which you can calculate the value of the next step that is the lhs by rhs where ita is the gain for the step size and d is desired output and y is the actual output and x is the input vector.

Hope you would have your concepts clear about the perception and perceptron.
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