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Regulatory feedback network

Known as: Regulatory Feedback Networks, Regulatory feedback 
Regulatory feedback networks are neural networks that perform inference using Negative feedback. The feedback is not used to find optimal learning or… 
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Related topics

Related topics

6 relations
Artificial neural networkFeedforward neural networkK-nearest neighbors algorithmNegative feedback

Broader (2)

Computational neuroscienceControl theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Evolutionary and Ruzzo–Tompa optimized regulatory feedback neural network based evaluating tooth decay and acid erosion from 5 years old children
2011
2011
Evaluating the Contribution of Top-Down Feedback and Post-Learning Reconstruction
Deep generative models and their associated top-down architecture are gaining popularity in neuroscience and computer vision. In… 
2010
2010
Evaluating the role of feedback regulation in recognition processing
How the brain is able to perform recognition, especially of simultaneous patterns, is not clear. There are enormous amounts top… 
2009
2009
Counting objects with biologically inspired regulatory-feedback networks
Neural networks are relatively successful in recognizing individual patterns. However, when images consist of combination of… 
2008
2008
Hybrid Classification and Symbolic-Like Manipulation Using Self-Regulatory Feedback Networks
We propose a hybrid model based on self-regulatory feedback. It is a connectionist network, which can be composed in a modular… 
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