convergence projection 中文意思是什麼

convergence projection 解釋
會聚投射
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  • 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...
  1. Abstract : in this paper a new identification model constructed by neural networks with modified inputs and stable filters is presented for continuous time nonlinear systems in order to reduce the inherent network approximation errors. an adaptive law with projection algorithm is employed to adjust the parameters of networks. under certain conditions, convergence of the identification error is proved

    文摘:在用神經網路進行系統建模時，建模誤差的存在是難免的.為了減小這種誤差，本文對連續時間非線性系統提出了一種新的神經網路辨識模型，它是由帶有輸入修正的神經網路和穩定濾波器組合而成.文中給出了權值的學習演算法，即權值是根據辨識誤差的投影演算法來改變，證明了在一定條件下辨識誤差的收斂性
  2. 3 a novel recursive least - square ( rls ) blind space - time receiver algorithm based on the constrained condition, which can completely avoid the matrix inversion introduced into by constraints ( comparing with the normal rls ), is proposed for multi - path slow fading cdma channels. the computational complexity of this method is not only lower than that of the normal rls, but also lower than that of both lms and ls blind space - time receiver methods that are realized based on the rosen ' s gradient projection. and the speed of convergence of the presented rls blind space - time receiver algorithm is better than that of both lms and ls blind space - time receiver methods

    3 、針對多徑慢衰落通道下ds - cdma盲空時接收機中線性約束二次規劃問題提出一種新的遞歸最小二乘演算法，該演算法完全避免因約束而引進的矩陣求逆運算（相對于常規的遞歸最小二乘演算法） ，不但運算量比常規的要低，而且比基於rosen梯度投影實現的最小均方（ lms ）與最小二乘盲空時接收機演算法還低，且收斂速度比基於rosen梯度投影實現的最小均方（ lms ）與最小二乘盲空時多用戶檢測都好，將提出的新的遞歸最小二乘演算法與提出的數據選擇方案結合起來可以進一步降低其運算量，具有很大的實用價值，最後通過模擬實驗進一步分析了其性能。
  3. In this paper, we utilized the wavelet to estimate cook ' s, friedman ' s and hall ' s projection index, and proved that the wavelet estimator of this projection pursuit indices are mse convergence and asymptotically unbiased., and the wavelet estimator of the ppda index is asymptotically unbiased

    證明了cook投影指標族、 friedman投影指標和hall投影指標的小波估計的漸近無偏性和均方收斂性，投影尋蹤判別分析指標（ projectionpursuitdscriminantanalysis簡稱ppda ）的小波估計的漸近無偏性。
  4. In chapter 2. we give a class of new algorithms for nonlinear programming problems with linear constrained by combining the gradient projection method with non - quasi - newton method which was given in paper [ 2 ]. it ' s global convergence and the superlinear convergence are proved under suitable conditions

    在第二章中我們將梯度投影與文[ 2 ]中的非擬牛頓法相結合，給出了求解線性約束非線性優化問題的一類梯度投影非擬牛頓演算法。
  5. In chapter 3, we give a class of new algorithms with inexact search for nonlinear programming problems with linear constrained by combining the generalized projection method with non - quasi - newton method. it ' s global convergence and the superlinear convergence are proved under suitable conditions

    新演算法推廣了文[ 1 ， 2 ]中的結果。在第三章中我們將廣義投影演算法與非擬牛頓法相結合，給出了求解線性約束非線性優化問題的一類廣義投影非擬牛頓演算法。
  6. By studying the discrete fourier transform properties of the band - limited digital signal, the authors introduce alternating projection neural networks into the paper, expand apnn ' s application scope from real field to complex field, and present several important conclusions on apnn. analyzing and discussing network ' s tolerance to noise, convergence rate and the spectral leakage problem of the truncated signal expected to be extrapolated by using these conclusions, the paper presents an extrapolation algorithm for band - limited signals based on alternating projection neural networks. a lot of simulation experiments show that the algorithm is effective. in addition, the algorithm is also effective to spectrum extrapolation. owing to adopting network structure, the algorithm is prone to parallel computation and vlsi design, and consequently can satisfy real time military processing needs

    本文通過對頻帶受限數字信號的離散傅立葉變換特性的研究，引進了交替投影神經網路，並將其應用范圍從實數域拓廣到復數域，且給出了在復數域仍然成立的若干結論.運用這些結論，在對網路噪聲抑制、網路收斂速度及待外推信號因截斷而造成頻譜嚴重外泄問題的分析與討論的基礎上，提出了一種基於交替投影神經網路的外推演算法.模擬實驗表明該方法是行之有效的.另外，該演算法對頻譜外推同樣適用；由於它採用全互連神經網路結構，易於并行計算和vlsi實現，從而可滿足軍事上實時處理的需要
  7. And then, the eight - parameter 2d projection model is optimized by ga, including adjusting genetic operators to eliminate the local convergence and premature convergence problem

    接著本文採用遺傳演算法優化二維投影模型的8個參數，通過調整遺傳運算元來消除局部收斂和末成熟收斂問題。
  8. We highlight the key points of this dissertation at the end of this charter. in chapter 2, a modified projection transformation method is presented, which utilizes preliminary estimation of interference doa. it is demonstrated that the side lobe performance of adapted antenna patterns can be significantly improved with this method and increased convergence rate of adaptive algorithm when the array manifold is not known exactly

    針對投影預變換在大信噪比時性能下降的缺點，提出了一種改進的基於投影預變換自適應波束形成演算法，通過對陣列協方差矩陣進行降維處理，既可抑制擾動誤差又可降低運算量，增強陣列的sinr輸出，具有良好的波束合成性能和較快收斂速度。
  9. 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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