Competitive Network

What Does Competitive Network Mean?

A competitive network is typically a type of unsupervised machine learning, using the principle of competitive learning to provide results. Through specific mathematical and network modeling, competitive networks achieve various goals in input recognition and processing.


Competitive networks are also known as competitive neural networks.

Techopedia Explains Competitive Network

Key to the design of competitive networks is the idea of excitatory and inhibitive influences on an artificial neuron. Experts talk about lateral inhibition and feedback connections through which laterally placed nodes may inhibit others. At the same time, feedforward excitatory synaptic connections can provide other corresponding influences. Understanding the ways that these work together are part of the road map toward working closely with competitive networks to drive new outcomes in machine learning and artificial intelligence.


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Margaret Rouse

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.