pattern n. 1.模范,榜樣;典范。 2.型,模型;模式;雛型;【冶金】原型。 3.花樣;式樣;(服裝裁剪的)紙樣;圖案,圖譜,圖表;機構(gòu),結(jié)構(gòu);特性曲線;晶體點陣;(電視的)幀面圖像。 4.方式;形式;格局;格調(diào)。 5.(衣料等的)樣品,樣本,樣板。 6.〔美國〕一件衣料。 7.(炮彈等的)散布面;靶子上的彈痕。 8.(飛機的)著陸航線。 a pattern wife 模范妻子。 a paper pattern for a dress 女服紙樣。 a machine of a new [an old] pattern新[舊]型機器。 a cropping pattern農(nóng)作制。 after the pattern of 仿…。 vt. 1.照圖樣做;仿造,摹制 (after; upon)。 2.給…加花樣,用圖案裝飾。 3.〔英方〕與…相比 (to, with)。 vi. 形成圖案。 pattern oneself after 模仿,學…的榜樣。 adj. -ed 仿造的;被組成圖案的(patterned forms【語言學】 仿造詞)。 n. -ing 圖案結(jié)構(gòu),圖形;(行為等的)特有型式。 adj. -less 無圖案的。
According to this derivation , a bi - linear optical system could be decomposed into a set of convolution kernels , which could then be convoluted with input pattern , and the resulting set of convolution fields could be superimposed to yield an intensity field 在這里提出了一種基于卷積核的快速稀疏空間光強的光刻仿真計算方法。一個雙線性光學系統(tǒng)分解成為一組空間域卷積核,并通過對版圖的空間域卷積來計算空間光強。
But its weight adjustment is determined only by its learning rate and the difference between the input pattern and the winner neuron ' s weight . it seems that the som obviously ignores some ( implicit ) correlative relationships during the learning , which actually exist between the input 自組織特征映射權(quán)值的調(diào)整僅考慮了學習率及輸入模式與鄰域內(nèi)權(quán)值之間的關(guān)系,忽略了輸入模式分量與全體參與競爭的神經(jīng)元權(quán)值向量間的某種相關(guān)關(guān)系。
The first problem is that how to encode the input pattern . as associative memory neural network require the input signal must be binary code and the character vectors are always real number , we must encode the input signal to be binary code 聯(lián)想記憶網(wǎng)絡(luò)在應用中的第一個問題是由于聯(lián)想記憶網(wǎng)絡(luò)要求輸入信號必須是二值的,而特征矢量通常以實值分量出現(xiàn),它不能直接用作聯(lián)想記憶網(wǎng)絡(luò)的輸入,因此輸入之前必須編碼,所以第一個問題是采用何種方法進行編碼。
But , such a vectorization will bring at least three potential problems : 1 ) structural or local contextual infor mation may be broken down ; 2 ) the higher the dimension of input pattern , the more me mory space are needed for the weight vector related to a classifier ; 3 ) when the dimension of a vector pattern is very high and while the sample size is small , it is easy to be overtrained 如此轉(zhuǎn)換至少會帶來三個不足: 1 )空間或結(jié)構(gòu)信息可能會遭到破壞; 2 )由于權(quán)向量的維數(shù)等于輸入模式的維數(shù),當輸入模式維數(shù)很大時,權(quán)值的存儲空間相應的會很大; 3 )對于大維數(shù)的向量模式,當樣本數(shù)不多的時候,利用線性分類器易導致過擬合。
Xmt series intelligence digital indicate controller and have advantanges of small size and high anti - interference . the products are manufactured according to the international standards and use transformer or 85 ? 264vac wide range input switch power . multiple installation dimensions allow for compatibility with most of the automatic industrial controlling / adjusting instruments in the world in respects of performance specificatons , input patterns , output functions and installation dimensions . therefore , the products are digital controllers at internationally advanced level Xmt系列智能數(shù)字顯示控制器,體積小,抗干擾能力強,產(chǎn)品按國際標準制造,采用變壓器或85 ? 264vac寬范圍輸入的開關(guān)電源,并有多種外型尺寸,能與世界大多數(shù)工業(yè)自動控制/調(diào)節(jié)儀表在性能指標、輸入方式、輸出功能、安裝尺寸上兼容,是具有國際先進水平的數(shù)字控制器。