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| | Neural Networks Introduction |
 | | In particular, it is incapable of solving the classic exclusive-or (XOR) problem, which will be discussed later. |
 | | For the network to represent the XOR function, the inputs (1,1) and (0,0), with sums (wl+W2) and 0, must produce outputs on one side, while the inputs (1,0) and (0,1), with sums wl and w2, must produce outputs on the other side. |
 | | While such limitations were the cause of a temporary decline of interest in the perceptron and in neural networks in gneral, the perceptron laid foundations for much of the later work in neural networks. |
| uhaweb.hartford.edu /compsci/neural-networks-tutorial.html (3432 words) |
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