Description: SOM Neural Networks: Self-Organizing Map acronym, that self-organizing map. 1981 University Professor T.Kohonen Finland Helsink propose a self-organizing feature map network, referred to as SOM network, also known as Kohonen network. Kohonen think: when a neural network to outside input mode, will be divided into different corresponding regions, the regional input to the model with different response characteristics, and this process is done automatically. It is similar to the self-organizing map according to this view put forward, which is characterized by self-organization and phase characteristics of the human brain. Because of its powerful over the years, neural networks in data classification, knowledge acquisition, process monitoring, fault identification and other areas to be widely used.
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