- 期刊
The Study of PSoC in GM (1,1) Error and Its Application in Temperature Prediction
並列摘要
In the study of prediction filed, no matter what methods we used, the main purpose is to minimize the prediction error; however, the goals cannot be fulfilled completely. Even we choose GM (1, 1) model, which in the newest soft computing method, we also need to minimize the prediction error. In this paper, we focus on the influence parameter α in GM (1, 1) model in the first, then, analyze the characteristics of α step by step, and use numerical method to find the prediction error corresponding with α value. Second, after the mathematics model is presented, we use PSoC to design a GM (1, 1) error chip, and provides temperature prediction as our example to verify our approach.
被引用紀錄
Yang, H. P. (2004). 灰色預測與人工智慧技術在促使電信業者營收確保之應用 [master's thesis, Tatung University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0081-0607200917232797
延伸閱讀
- Wu, C. J., Lee, K. J., & Hsu, F. Y. (2009). Implementation of GPRS Long-Distance Monitoring Platform Based on Grey Prediction Model. Journal of Grey System, 12(2), 95-99. https://doi.org/10.30016/JGS.200906.0006
- 蔡元順（2014）。Effect Study and Optimization for Design Parameters Of Membrane Restrictor〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201401021
- Miadonye, A., & Amadu, M. (2014). Analytical Derivation of the Temperature Dependence of Absolute Permeability of a Porous Medium. Journal of Petroleum Science Research, 3(4), 220-230. https://doi.org/10.14355/jpsr.2014.0304.07
- Jan, S. S., & Sun, C. C. (2009). A Study on the Application of the Empirical Mode Decomposition to GPS Signal Acquisition Process. Journal of Aeronautics, Astronautics and Aviation. Series A, 41(2), 83-89. https://doi.org/10.6125/JoAAA.200906_41(2).02
- Liu, X., & Fan, Z. (2023). A Two-stage Approach for Global Temperature Change Prediction. International Core Journal of Engineering, 9(6), 216-228. https://doi.org/10.6919/ICJE.202306_9(6).0028