| In this case, it is a pattern associator type network making use of backpropagation for it's learning rule. |
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| A pattern associator can be trained to respond with a certain output pattern when presented with an input pattern. |
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| The associator and memory subsystems form the learning process and the storage of information for use at a later time. |
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| We describe an associator neural network to localise a recognised object within the visual field. |
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| For example, the pattern associator and the auto associator are two common architectures. |
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| Recall that the Linear Associator has perfect recall when it works with orthonormal vectors. |
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