Rough Period Estimation And Peak Prediction Of Stock Market Based On Multiple Sine Functions Extraction

Zhang, Yunong; Xue, Zhongxian; Tao, Jin‐Hui; Ling, Yingbiao; Ye, Chengxu

doi:10.1109/icmlc.2018.8526942

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…The proposed square wave function can be expressed as where x refers to the function input, and the parameter k refers to the half period of this function. As sine-similar functions [25], these square wave functions also have a phase parameter for the input x. The other properties of these functions are similar to that of the sine function.…”

Section: A Square Wave Activation Functionsmentioning

confidence: 93%

Predictions of USA Presidential Parties From 2021 to 2037 Using Historical Data Through Square Wave-Activated WASD Neural Network

Zeng

Zhang

et al. 2020

IEEE Access

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The United States of America (USA) has been the most powerful country in the world for decades. The country's global leadership and power are critical for international security and intercountry relationships, in which the political events yield differences. With the deepening development of globalization and the recovery of the global economy, the future policies and presidential parties of the USA should be predicted to avoid potential crises. However, making unbiased and robust predictions is challenging. This study presents a weight-and-structure-determination (WASD) algorithm-based feedforward neural network activated by a set of square wave functions to predict the presidential parties in the USA from 2021 to 2037. The historical data of presidential parties from 1853 to 2017 are used as the training set in the numerical experiments, and the results show that the proposed neural network can predict 9 terms of future presidential parties. Compared with other models, the proposed model is more efficient, robust, purely time-driven, and bias-independent. Through the square wave-activated WASD neural network, the Democratic Party is predicted to win in 2025, 2029, and 2033, whereas the Republican Party might win in 2021 and 2037. INDEX TERMS Weight-and-structure-determination algorithm, feedforward neural network, USA, presidential parties, prediction.

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Section: A Square Wave Activation Functionsmentioning

confidence: 93%

Predictions of USA Presidential Parties From 2021 to 2037 Using Historical Data Through Square Wave-Activated WASD Neural Network

Zeng

Zhang

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

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“…Overall, by introducing the neural network technology, the above three methods all improve the control performance of PID controllers, but they involve a complex problemsolving and design process. However, some new neural networks [24,25] have highly efficient problem-solving characteristics, are mainly used to realize prediction [26,27], and have less application in gas turbine control. Aiming at the large overshoot of the original PID controller of an aero-derivative gas turbine, this paper plans to introduce new neural networks [24,25] to decrease the overshoot.…”

Section: Introductionmentioning

confidence: 99%

A Novel Integrated Control Method for an Aero-Derivative Gas Turbine of Power Generation

Guo

He²,

Xiao

et al. 2022

Machines

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On account of the complexity of aero-derivative gas turbines and the much higher control requirements, it is significant and meaningful to design advanced controllers for obtaining the ideal control effect. In this paper, to improve the performance of the original controller of an aero-derivative gas turbine, a novel integrated control method is proposed by combining the original controller with a new neural network controller. It realizes the speed control by switching the two controllers during the operation process of the aero-derivative gas turbine. A tracking test and robustness test are conducted to assess the superiority of the novel integrated control method. The results show that in comparison with the original controller and the new neural network controller, the novel integrated control method has a much better speed tracking performance during the four tracking tests. When the model of the aero-derivative gas turbine changes with the ambient temperature and compressor performance degradation, the robustness of the novel integrated control method is also better than the other two controllers. Hence, the superiority of the novel integrated control method is validated.

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Rough Period Estimation And Peak Prediction Of Stock Market Based On Multiple Sine Functions Extraction

Cited by 2 publications

References 9 publications

Predictions of USA Presidential Parties From 2021 to 2037 Using Historical Data Through Square Wave-Activated WASD Neural Network

Predictions of USA Presidential Parties From 2021 to 2037 Using Historical Data Through Square Wave-Activated WASD Neural Network

A Novel Integrated Control Method for an Aero-Derivative Gas Turbine of Power Generation

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