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About Lecture Notes To Neural Networks in Electrical Engineering
Self-organizing networks can perform unsupervised clustering by mapping high-dimensional input patterns into a smaller number of clusters in output space. The network weights represent classes of patterns, and competitive learning selects the most closely matching neuron. Fixed weight competitive networks like Maxnet, Mexican Hat net, and Hamming net use competition between neurons to select a single winning neuron. Maxnet is based on winner-take-all and has inhibitory connections between neurons. The Mexican Hat net has both excitatory and inhibitory connections in different neuron neighborhoods to enhance contrast. Hamming net finds the exemplar vector most similar to an input using a maximum likelihood measure of similarity between vectors.
Detailed Information
| Author: | ['Naeem Ali Sajad'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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