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題 名 | 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 |
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作 者 | 高銘賢; 曾敏烈; 黃聰耀; | 書刊名 | 華岡工程學報 |
卷 期 | 14 2000.06[民89.06] |
頁 次 | 頁147-160 |
分類號 | 312.2 |
關鍵詞 | 預測; 人工智慧; Prediction; AI; Artificial intelligence; |
語 文 | 中文(Chinese) |
中文摘要 | 本文主要在應用模糊理論,探討動態時間序列的預測問題。結合基因演算法及集群分析之方法,設計出歸屬函數及規則庫,使其有效率且快速地訓練模糊理論中的規則庫,並試著調整各種初始之設定,以提高預測之準確度。 |
英文摘要 | In this paper, we present a hybrid AI(artificial intelligence) approach to the implementation of predicting the turn 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 clusteringbased 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. |
本系統中英文摘要資訊取自各篇刊載內容。