projection property 中文意思是什麼
projection property
解釋
射影性質- projection : n 1 射出，投擲，發射，噴射。2 投射；投影，投影法；（地圖）投影圖製法；【電影】放映。3 凸出；凸出...
- property : n. 1. 財產；資產；所有物；所有地，地產；所有，所有權。2. 性質，特徵，屬性，特性；【邏輯學】非本質特性。3. 〈pl. 〉 【戲劇】道具；〈英國〉服裝。
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When applied in the analysis of high - dimensional bifurcations and structural stabilities a series of coordinate plane projection ( cpp ) transformations are done firstly. then investigate the property of the original system through these 2 dimensional time - varying linear subsystems. the fine structure and mechanism are explored with tspdr
Tspdr應用於高維分岔、結構穩定性的分析時，先對原系統進行cpp變換，然後通過對一系列2維時變線性系統的分析來研究原系統的性質，觀察其微觀結構，揭示其運動機理。 -
This paper introduces the methods of hyperspectral images band selection based on the property of hyperspectral remote sensing images, utilizes the projection pursuit approach to find optimal solutions for a selected projection index based on dynamical evolutionary algorithm and then project a high dimensional data set into a low dimensional data space to produce a sequence of projection images, explores zero - detection method to threshold projection images to detect anomaly tar get
摘要運用基於波段間相關性的高光譜影像波段選取方法進行波段的預選取，採用投影尋蹤的方法在動力演化演算法的基礎上尋找最佳投影方向，將高維數據投影至低維數據空間，在各投影分量圖像上採用零點檢測閾值化的方法進行異常目標的提取。 -
Two sorts of general base function property is analyzed, they are trigonometric function and walsh function. arming at projection compounding model, a learning algorithm base on weight function expanded on certain base function is proposed
分析了三角函數基及沃爾什函數基兩類常用基函數的性質，並針對投影組合模型給出了基於權函數正交基展開的學習演算法。 -
Designating a property of a geometric figure that does not vary when the figure undergoes projection
射影的指定幾何圖形屬性的，以便當這個圖形經受影射時不發生變化 -
The approximation property of projection pursuit wavelet neural network ( ppwnn ) which is applied to non - linear function is studied, the convergence rate is given in this paper also. 3. we demonstrate projection pursuit wavelet neural network ( wppnn ) has a good applicability by the approximation of five non - linear functions and the prediction of sunport and chaos time series and the use of edge detection
主要工作如下： （ 1 ）建立了投影尋蹤小波神經網路的數學模型、拓撲結構及非線性學習機理； （ 2 ）證明了投影尋蹤小波神經網路可以逼近非線性函數，並給出了其收斂速度； （ 3 ）通過投影尋蹤小波神經絡對五種非線性函數的逼近和對太陽黑子、混沌時間序列的模擬預報以及投影尋蹤小波學習網路在圖象邊緣檢測中的應用，說明該網路具有很強的實用性。
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