How Simple Neuron Works ?
Let there are two neurons X and Y which is transmitting signal to another neuron Z . Then , X and Y are input neurons for transmitting signals and Z is output neuron for receiving signal . The input neurons are connected to the output neuron , over a interconnection links ( A and B) as shown in figure .
For above neuron architecture, the net input has to be calculated in the way. I = xA + yB
where x and y are the activations of the input neurons X and Y. The output z of the output neuron Z can be obtained by applying activations over the net input. O = f(I), Output = Function ( net input calculated )
The function to be applied over the net input is called activation function. There are various activation function possible for this.
Introduction to Artificial Neural Network | Set 2
Artificial Neural Networks contain artificial neurons which are called units. These units are arranged in a series of layers that together constitute the whole Artificial Neural Network in a system. This article provides the outline for understanding the Artificial Neural Network.