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What is THONN

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
Artificial trigonometric higher order neural network.
Published in Chapter:
Control Signal Generator Based on Ultra-High Frequency Polynomial and Trigonometric Higher Order Neural Networks
DOI: 10.4018/978-1-7998-3563-9.ch010
Abstract
This chapter develops a new nonlinear model, ultra high frequency polynomial and trigonometric higher order neural networks (UPT-HONN) for control signal generator. UPT-HONN includes UPS-HONN (ultra high frequency polynomial and sine function higher order neural networks) and UPC-HONN (ultra high frequency polynomial and cosine function higher order neural networks). UPS-HONN and UPC-HONN model learning algorithms are developed in this chapter. UPS-HONN and UPC-HONN models are used to build nonlinear control signal generator. Test results show that UPS-HONN and UPC-HONN models are better than other polynomial higher order neural network (PHONN) and trigonometric higher order neural network (THONN) models, since UPS-HONN and UPC-HONN models can generate control signals with error approaching 10-6.
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Models of Artificial Higher Order Neural Networks
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