Ultra High Frequency Polynomial and Trigonometric Higher Order Neural Networks for Control Signal Generator

Ultra High Frequency Polynomial and Trigonometric Higher Order Neural Networks for Control Signal Generator

ISBN13: 9781522507888|ISBN10: 1522507884|EISBN13: 9781522507895
DOI: 10.4018/978-1-5225-0788-8.ch026
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MLA

Zhang, Ming . "Ultra High Frequency Polynomial and Trigonometric Higher Order Neural Networks for Control Signal Generator." Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 648-681. https://doi.org/10.4018/978-1-5225-0788-8.ch026

APA

Zhang, M. (2017). Ultra High Frequency Polynomial and Trigonometric Higher Order Neural Networks for Control Signal Generator. In I. Management Association (Ed.), Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications (pp. 648-681). IGI Global. https://doi.org/10.4018/978-1-5225-0788-8.ch026

Chicago

Zhang, Ming . "Ultra High Frequency Polynomial and Trigonometric Higher Order Neural Networks for Control Signal Generator." In Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 648-681. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0788-8.ch026

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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 0.0000%.

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