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What is GAT

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
Group-based adaptive tolerance tree.
Published in Chapter:
Face Recognition Based on Higher Order Neural Network Group-Based Adaptive Tolerance Trees
DOI: 10.4018/978-1-7998-3563-9.ch012
Abstract
Recent artificial higher order neural network research has focused on simple models, but such models have not been very successful in describing complex systems (such as face recognition). This chapter presents the artificial higher order neural network group-based adaptive tolerance (HONNGAT) tree model for translation-invariant face recognition. Moreover, face perception classification, detection of front faces with glasses and/or beards models of using HONNGAT trees are presented. The artificial higher order neural network group-based adaptive tolerance tree model is an open box model and can be used to describe complex systems.
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Guaranteeing Quality of Service in Mobile Ad Hoc Networks
The global framework for functional architecture analysis in telecommunications is a model used to analyse telecommunication architectures.
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