weight approximation 中文意思是什麼

weight approximation 解釋
加權近似值
  • weight : n 1 重量；體重；求心力，重力，（地心）引力。2 斤兩，分量，衡，計重單位。3 （壓東西的）重物。4 砝...
  • approximation : n. 1. 接近；近似。2. 【數學】近似值。3. 概算，略計。
  1. A real rough set space and the concepts of real lower and upper approximation corresponding to real - valued attributes is studied. a rhombus neighborhood for som is proposed, and the combination of som and rough sets theory is explored in the dissertation. according to the distance between the weight of winner node and the input vector in the real rough sets space, some new weights learning rules are defined

    本文提出採用菱形鄰域代替一般的方形鄰域，可以減少待修正權重的數目;並利用實數粗糙空間的下、上近似集的精確概念劃分自組織映射的輸出結果，使得改進后的映射結果中各類樣本點之間有明顯的間隔，易於進行分類識別。
  2. Based on many references, a evaluating function is proposed with performance index of hall call waiting time ( hwt ), people number in a car, energy consuming. the statistic approximation algorithm for hwt is introduced, based on the analysis of elevator traffic state, the calculation of traveling distance and stop number is explained in detail in the thesis. according to the characteristics of the elevator, a group of elevator teaching signals are constructed, by which the weight coefficients are trained according to the widrow - hoff rule

    本文在借鑒了大量的文獻基礎上，提出以平均等候時間、轎廂人數、能源消耗為性能指標的評價函數；詳細介紹了乘客待梯時間hwt的統計近似演算法；基於對電梯交通狀況的分析，對停層次數和運行距離這兩個重要參數的計算進行了詳盡的介紹；依據電梯運行特性參數，構造一組電梯運行教師信號，並採用神經網路的widrow - hoff學習規則訓練權系數。
  3. Generalized weight approximation by maximal familieswith applications

    廣義權函數的最大類逼近及其應用
  4. But it has intrinsic defects such as low convergence and local minimum because the negative gradient method is adopted in weight adjusting. an improved rbf network is introduced which has the advantage in digital approximation, classification and learning rate and at the same time, the corresponding sensibility is also analysed

    但bp網路在用於函數逼近時，權值的調節採用的是負梯度下降法，這種調節方法有它的局限性，如收斂速度慢和容易陷入局部極小等缺點。
  5. For h - d scattered data, local weighted least - squares fitting ( llsf ) methods for approximation and interpolation are respectively put forward and the latter is got by adjusting weight function in the former case, and the interpolating method is also used to construct hyper - surface models with the radial function. the problem of choosing weight function during local least square approximation is discussed and two good weight functions are given : one with a parameter, the other with no parameter. based on them

    二、對非規則區域上分佈的h - d數據，提出了散亂數據超曲面擬合的局部最小二乘逼近法。通過對局部最小二乘逼近的權因子作適當的改進，得到了擬合精度較高的局部最小二乘插值法，還用徑向基函數構造了超曲面模型，找到了一種性質好帶參數的權函數以及另一種有著普遍精度性質的不含參數的權函數，獲得了較好的逼近效果。
  6. Initialization is a crucial problem in the application of multiwavelets, and the selection of initial weight affects directly the approximation performance and convergence rate of a multiwavelet neural network

    初始化問題是多子波神經網路的一個基本問題，網路初始值的選取直接影響著網路的逼近性能和收斂速度。
  7. Secondly, using the relation between the weighted modified k - functional, the weighted modulus of smoothness, the weighted main - part modulus of smoothness. we get the pointwise direct and inverse approximation theorem with jacobi weight for s ' zdsz - kantorovich operator. thus some results on w ( x ) = 0 ( w ( x ) denotes the weight function ), ditzian - totik modulus and classic modulus are extend

    其次，引入一種改變的帶權k -泛函，利用帶權光滑模和帶權主部光滑的關系及帶權光滑模與改變帶權k -泛函的等價性，關于sz sz - kantorovich運算元，討論了一階矩不為零的運算元的點態帶jacobi權逼近正定理及等價定理，推廣了已有的權為零及ditzian - totik光滑模和古典光滑模的結果。
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