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Ultra High Frequency Sigmoid and Trigonometric Higher Order Neural Networks for Data Pattern Recognition

Ultra High Frequency Sigmoid and Trigonometric Higher Order Neural Networks for Data Pattern Recognition

Ming Zhang
Copyright: © 2016 |Pages: 33
ISBN13: 9781522500636|ISBN10: 1522500634|EISBN13: 9781522500643
DOI: 10.4018/978-1-5225-0063-6.ch004
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MLA

Zhang, Ming . "Ultra High Frequency Sigmoid and Trigonometric Higher Order Neural Networks for Data Pattern Recognition." Applied Artificial Higher Order Neural Networks for Control and Recognition, edited by Ming Zhang, IGI Global, 2016, pp. 80-112. https://doi.org/10.4018/978-1-5225-0063-6.ch004

APA

Zhang, M. (2016). Ultra High Frequency Sigmoid and Trigonometric Higher Order Neural Networks for Data Pattern Recognition. In M. Zhang (Ed.), Applied Artificial Higher Order Neural Networks for Control and Recognition (pp. 80-112). IGI Global. https://doi.org/10.4018/978-1-5225-0063-6.ch004

Chicago

Zhang, Ming . "Ultra High Frequency Sigmoid and Trigonometric Higher Order Neural Networks for Data Pattern Recognition." In Applied Artificial Higher Order Neural Networks for Control and Recognition, edited by Ming Zhang, 80-112. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0063-6.ch004

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Abstract

This chapter develops a new nonlinear model, Ultra high frequency siGmoid and Trigonometric Higher Order Neural Networks (UGT-HONN), for data pattern recognition. UGT-HONN includes Ultra high frequency siGmoid and Sine function Higher Order Neural Networks (UGS-HONN) and Ultra high frequency siGmoid and Cosine functions Higher Order Neural Networks (UGC-HONN). UGS-HONN and UGC-HONN models are used to recognition data patterns. Results show that UGS-HONN and UGC-HONN models are better than other Polynomial Higher Order Neural Network (PHONN) and Trigonometric Higher Order Neural Network (THONN) models, since UGS-HONN and UGC-HONN models to recognize data pattern with error approaching 0.0000%.

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