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What is HONN

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
Artificial higher order neural network.
Published in Chapter:
Data Classification Using Ultra-High Frequency SINC and Trigonometric Higher Order Neural Networks
DOI: 10.4018/978-1-7998-3563-9.ch007
Abstract
This chapter develops a new nonlinear model, ultra high frequency sinc and trigonometric higher order neural networks (UNT-HONN), for data classification. UNT-HONN includes ultra high frequency sinc and sine higher order neural networks (UNS-HONN) and ultra high frequency sinc and cosine higher order neural networks (UNC-HONN). Data classification using UNS-HONN and UNC-HONN models are tested. Results show that UNS-HONN and UNC-HONN models are more accurate than other polynomial higher order neural network (PHONN) and trigonometric higher order neural network (THONN) models, since UNS-HONN and UNC-HONN models can classify data with error approaching 10-6.
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