Artificial Neural Network: Learn About Electronics (Learn Electronics) by ANSARI HASANRAZA

Author:ANSARI, HASANRAZA [ANSARI, HASANRAZA]
Language: eng
Format: epub
Published: 2020-06-25T16:00:00+00:00

Learning Vector Quantization

Learning Vector Quantization LVQ LVQ, different from Vector quantization VQ VQ and Kohonen Self-Organizing Maps KSOM KSOM, basically is a competitive network which uses supervised learning. We may define it as a process of classifying the patterns where each output unit represents a class. As it uses supervised learning, the network will be given a set of training patterns with known classification along with an initial distribution of the output class. After completing the training process, LVQ will classify an input vector by assigning it to the same class as that of the output unit.

Architecture

Following figure shows the architecture of LVQ which is quite similar to the architecture of KSOM. As we can see, there are “n” number of input units and “m” number of output units. The layers are fully interconnected with having weights on them.

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