- 期刊
- OpenAccess
動態時間序列之預測－使用複合式人工智慧系統
Dynamic Time Series Predicting with a Hybrid AI System
並列摘要
In this paper, we present a hybrid AI(artificial intelligence) approach to the implementation of predicting the tom over point of time series. The hybrid AI system integrates the rule-based fuzzy system and the genetic algorithm to accurately predict the turn over point of time series. Firstly, the clustering- based method is applied to determine the optimal number of fuzzy rules and establish an initial fuzzy model. Secondly, the genetic algorithm is exploited to tune the parameters of rule base and membership functions.
延伸閱讀
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- 沈偉立（2007）。結合廻歸決策樹與類神經網路於時間序列資料之預測〔碩士論文，大同大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0081-0607200917240921
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