• Connection weights are the key el

• Connection weights are the key elements of an ANN.
• They express the relative strength (or mathematical value) of the input data or the many connections that transfer data from layer to layer.
• In other words, weights express the relative importance of each input to a processing element and, ultimately, the output.
• Weights are crucial in that they store learned patterns of information. It is through repeated adjustments of weights that a network learns.