For many types of neural networks,

For many types of neural networks, the weight function is a product of a weight times the input, but other weight functions (e.g., the distance between the weight and the input, |w-p|) are sometimes used. (See “Weight Functions” on page 12-23 for a list of weight functions.) The most common net input function is the summation of the weighted inputs with the bias, but other operations, such as multiplication, can be used. (See “Net Input Functions” on page 12-11 for a list of net input functions.) Chapter 6, “Radial Basis Networks,” discusses how distance can be used as the weight function and multiplication can be used as the net input function. There are also many types of transfer functions. Examples of various transfer functions are in “Transfer Functions” on page 2-5. See also “Transfer Functions” on page 12-21.