Keywords: neural net, pattern recognition, image recognition, image retrieval, character recognition, stock prediction, lottery forecast.

What Is A Neural Network ?

• Learn by adapting its synaptic weights to changes in the surrounding environments;
• handle imprecise, fuzzy, noisy, and probabilistic information; and
• generalize from known tasks or examples to unknown ones.

Artificial neural networks (ANNs) attempt to mimic some,

or all of these characteristics. One of the most popular networks

is the Hopfield network. This recurrent net is completely inter-

connected. The Boltzmann machine is closely related to

the Hopfield model. The Boltzmann Machine is a special type

of neural network, in which each neuron configuration has a certain

probability to appear.

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