NN Neural Network (NN)
artificial neural network neural nets neural network neuron NN
A neural network is a processing device, either an algorithm, or actual hardware, whose design was inspired by the design and functioning of animal brains and components thereof.
Most neural networks have some sort of "training" rule whereby the weights of connections are adjusted on the basis of presented patterns. In other words, neural networks "learn" from examples, just like children learn to recognise dogs from examples of dogs, and exhibit some structural capability for generalisation.
Neurons are often elementary non-linear signal processors (in the limit they are simple threshold discriminators). Another feature of NNs which distinguishes them from other computing devices is a high degree of interconnection which allows a high degree of parallelism. Further, there is no idle memory containing data and programs, but rather each neuron is pre-programmed and continuously active.
The term "neural net" should logically, but in common usage never does, also include biological neural networks, whose elementary structures are far more complicated than the mathematical models used for ANNs.
nn lets you decide which of the many news groups you are interested in, and unsubscribe to those which don't interest you. nn lets you select articles to read from a menu in each of the groups you subscribe. nn sorts and presents new articles very quickly because it uses its own local database to maintain all the necessary information (this database is built and maintained by the nnmaster program).
The NNTP support was designed and implemented by Ren'e Seindal, Institute of Datalogy, University of Copenhagen, Denmark.
Define Nn and 150,000 other terms at dictionary.net