The perceptron model, created by Frank Rosenblatt in 1958, is an improved version of the MP neuron and can take any real value as input. Each input is then multiplied by a real-valued weight. If the sum of the weighted inputs is greater than the threshold, then the output is 1, and if it is below the threshold, then the output is 0. The following diagram illustrates a basic perceptron model:
This model shares a lot of similarities with the MP neuron, but it is more similar to the biological neuron.
Mathematically, we can write this as follows:
Here, .
Sometimes, we rewrite the perceptron equation in the following form:
The following ...
