Op deze chinese site vind je een zeer goede, eenvoudige uitleg over hoe je een artificiëel neuron / artificiëel neuraal netwerk kunt omschrijven.
http://bbs.pinggu.org/thread-4192156-1-1.html
So what is a neural network? Let’s wait with the network part and start off with one single neuron. A neuron is like a function; it takes a few inputs and calculates an output. The circle below illustrates an artificial neuron. Its input is 5 and its output is 1. The input is the sum of the three synapses connecting to the neuron (the three arrows at the left).At the far left we see two input values plus a bias value. The input values are 1 and 0 (the green numbers), while the bias holds a value of -2 (the brown number). The inputs here might be numerical representations of two different features. If we’re building a spam filter, it could be whether or not the email contains more than one CAPITALIZED WORD and whether or not it contains the word ‘viagra’. The two inputs are then multiplied by their so called weights, which are 7 and 3 (the blue numbers). Finally we add it up with the bias and end up with a number, in this case: 5 (the red number). This is the input for our artificial neuron.