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7.8. Neural Pattern Recognition
Fig. 7.47. Heteroassociation. S, a and S 2 are the input and output pattern spaces.
subjected to inhibition from both input neurons 3 and 4, and so on. The
corresponding heteroassociation memory matrix is shown in Fig. 7.48c, for
which 1,0. — 1 represents the excitory, null, and inhibitory connections. The
memory matrix is partitioned into four blocks, and each block represents the
corresponding output neurons. For illustration, we show a supervised hetero-
association NN, as obtained from the optical NN of Fig. 7.7. A set of Arabic
a i
1 0
(a)
nput Neurons Output Neurons
Interconnections
—— Excitation
— — inhibition
(c)
(b)
Fig. 7.48. Construction of an heteroasociative IWM (HA IWM). (a) Input-output training sets,
(b) A tristate NN, (c) Heteroassociation IWM.