This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English version of the page.

Note: This page has been translated by MathWorks. Click here to see
To view all translated materials including this page, select Country from the country navigator on the bottom of this page.

Competitive Layers

Identify prototype vectors for clusters of examples using a simple neural network

Functions

competlayerCompetitive layer
viewView neural network
trainTrain shallow neural network
trainruUnsupervised random order weight/bias training
learnkKohonen weight learning function
learnconConscience bias learning function
genFunctionGenerate MATLAB function for simulating shallow neural network

Topics

Cluster with a Competitive Neural Network

Deploy Shallow Neural Network Functions

Simulate and deploy trained shallow neural networks using MATLAB® tools.

Deploy Training of Shallow Neural Networks

Learn how to deploy training of shallow neural networks.

Competitive Learning

Neurons in a competitive layer learn to represent different regions of the input space where input vectors occur.