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Definition of "unsupervised neural network" |
neural network that does require predetermined output to form the interconnection weight matrix of a network. If no input–output pairs are known and a number of inputs are available,we can only memorize them in an organized order. Similar inputs are memorized in locations close to each other and different inputs are stored in locations far from each other.The network is able to recognize an input that has already appeared before. If the input has never appeared, it will be stored in an appropriate location, which is close to similar inputs and far from different inputs. An example of unsupervised neural network is the Kohonen self-organizing map, which can be implemented using an adaptive correlator. A correlator has been long used in optical processing for measuring the similarity between two inputs. |
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