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Home Multivariate Data Modeling Neural Networks Multilayer Perceptron Single Processing Unit  
See also: Multilayer Perceptron  
ANN  Single Processing Unit
The central paradigm of neural networks is based on local computing. This means that neural networks gain their power from connecting several processing units, which have only very restricted capabilities and do not know anything about the "higher" goals of the network. The "knowhow" of the network is thus not contained in its processing units but in the connections. The actual implementation of a processing unit may differ widely and depends on the model to be used. The example below shows a processing unit as it is used in multilayer perceptrons. This processing unit consists of three parts:


Home Multivariate Data Modeling Neural Networks Multilayer Perceptron Single Processing Unit 
Last Update: 20121008