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DATA MINING (THE BOLTZMAN MACHINE by GEOFFREY HINTON 1984 (used to process…
DATA MINING 
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THE BOLTZMAN MACHINE by GEOFFREY HINTON 1984
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calculate informations
BACK PROPAGATION NEURAL NETWORK by David Rumalhart
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RESONANCE THEORY
describes a number of neural network models which use supervised and unsupervised learning methods, and address problems such as pattern recognition and prediction.
object identification and recognition generally occur as a result of the interaction of 'top-down' observer expectations with 'bottom-up' sensory information.
ART 1, ART 2, ART 2-A, ART 3, Fuzzy ART, ARTMAP,[, Fuzzy ARTMAP
slow and fast
slow learning method, the degree of training of the recognition neuron’s weights towards the input vector is calculated to continuous values with differential equations and is thus dependent on the length of time the input vector is presented.
With fast learning, algebraic equations are used to calculate degree of weight adjustments to be made, and binary values are used.
THE HOPFIELD NETWORK 1982
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converge to a local minimum, but will sometimes converge to a false pattern (wrong local minimum) rather than the stored pattern (expected local minimum)
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THE KOHONEN NETWORK by Teuvo Kohonen, 1988MULTIP
SELF ORGANIZING MAP
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