Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Neural computation and self-organizing maps: an introduction
Neural computation and self-organizing maps: an introduction
WSEAS Transactions on Information Science and Applications
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An artificial neural network (ANN) is an information-processing paradigm inspired by the way the densely interconnected, parallel structure of the mammalian brain processes information. The key element of the ANN paradigm is the novel structure of the information processing system. Learning in ANN typically occurs by example through training, or exposure to a set of input/output data where the training algorithm iteratively adjusts the connection weights. The Kohonen self-organizing map neural network performs a mapping from a continuous input space to a discrete output space, preserving the topological properties of the input. For training and testing the neural network various databases available on the Internet as well as gathered information from hospitals is used.