The following figure shows a simple biological neuron to the left. The neuron has dendrites that receive signals from other neurons. A cell body controls activation, and an axon carries an electrical impulse to the dendrites of other neurons. The artificial neuron to the right has a series of weighted inputs: a summing function that groups the inputs and a firing mechanism (F(Net)), which decides whether the inputs have reached a threshold, and, if so, the neuron will fire:
Neural networks are tolerant of noisy images and distortion, and so are useful when a black box classification method is needed for potentially ...
