查詢結果分析
來源資料
相關文獻
- VLSI Architecture for Serial Input Clustering Analysis
- Classification of Water Masses and Sound-Scattering Layer Biomass in the Waters off Northeastern Taiwan Using a Fuzzy Clustering Method
- A Fuzzy Document Retrieval System based on Concept Networks and Cluster Analysis
- 臺灣中部地區空氣品質預測之探討
- 臺灣地區銀行業顧客滿意度之研究--自組織映射類神經網路之應用
- 高雄都會區單顆粒氣膠物理化學特性與污染來源推估
- A Hybrid Method for Generating Fuzzy Rules From Numerical Data
- 模糊聚類分析在安全評價中的應用
- 樺木科木材解剖構造之系統研究
- 應用理解神經網路系統於臺灣股價指數之分析及預測
頁籤選單縮合
題名 | VLSI Architecture for Serial Input Clustering Analysis=串列輸入聚類分析之VLSI架構 |
---|---|
作 者 | 賴茂富; | 書刊名 | 華岡工程學報 |
卷期 | 8 1995.03[民84.03] |
頁次 | 頁13-31 |
分類號 | 448.57 |
關鍵詞 | VLSI架構; 聚類分析; |
語文 | 英文(English) |
中文摘要 | 聚類分析在影像處理與標型辨認之應用很廣泛,最常使用之聚類分析法則為平方 誤差(Squared Error)法。由於近年來微電子之技術進步日新月異,故已發展出以VLSI實 現平方誤差法,以提高聚類分析之執行速度。本文提出以收縮陣列(Systolic Array)設計 聚類分析之VLSI架構,所提出之架構具有簡單、規律性、與模組化之特性,使得電路之複雜 度大為降低,同樣的架構亦可以應用在輸入資料數目改變之情況;另外因為所提出之架構允 許串列式之資料輸入,可以大量節省VLSI實現時IC之接腳數目。利用本文所提出之新架構, 高速度之聚類分析可用低成本VLSI來實現。 |
英文摘要 | Clustering analysis has numerous applications in image processing and pattern recognition. The squared error clustering algorithm is the most well- known method in clustering analysis. VLSI implementation of the squared error clustering algorithm is feasible recently due to advances in microelectronics technology. This paper presents an modular serial input VLSI architecture for the squared error clustering analysis based on systolic array. The proposed architecture features simple, regular and modular design which dramatically reduces the circuitcomplexity. Moreover, the proposed architecture can be utilized for adaptation to the change of the number of input patterns. In addition, the proposed architecture allows serial data input to save enormous pin counts, which is very attractive for VLSI implementation. Using this novel architecture, the VLSI implementation for clustering analysis can be realized cost-effectively. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。