nn 中文意思是什麼

The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。

Motivated by this observation, this paper studies the problem of efficiently processing k nn k - ge 1 search on r - tree - like structures storing historical information about moving object trajectories. two algorithms are developed based on best - first traversal paradigm, called bfp k nn and bft k nn, which handle the k nn retrieval with respect to the static query point and the moving query trajectory, respectively. both algorithms minimize the number of node access, that is, they perform a single access only to those qualifying nodes that may contain the final result

例如，若已知動物的軌跡，則動物學家可能提出如下兩種查詢： i在時間區間ti ， tj內找到離一個給定的靜態點譬如食物源實驗室等最近的k條動物軌跡ii在時間區間ti ， tj內找到離一條預先指定的動物軌跡最近的k條動物軌跡。

The modeling of the growing status of the cauline of tomato in growing process is discussed, by using nn and genetic algorithm

摘要採用神經網路和遺傳演算法，對溫室栽培番茄生長過程中主要器官莖的生長過程進行了建模。

What deserve noting is that the application of nn to freight agent operation is a first attempt in this area, and i think this research can be of great help of my future research and practice

值得一提的是，通過運用神經網路方法來輔助攬貨決策對于該領域是一種新的嘗試，為以後從事該領域的研究及實際工作開辟了思路，奠定了堅實的基礎。

Stability analysis of penstock under external pressure based on ga - nn algorithms

基於遺傳神經演算法的壓力鋼管外壓穩定性分析

In the thesis, the general situation of the domestic and abroad developments in the field of the numerical control interpolation algorithm for aspheric surface machining is reviewed firstly, for the poorness of recent numerical control interpolation algorithm, an numerical control interpolation algorithm that based on the genetic algorithm ( ga ) and neural network ( nn ) is introduced

在數控系統中，它是生成加工軌跡的一個最基本的子程序，在很大程度上決定了數控機床的加工精度和最大進給速度。本文首先綜述了國內外非球曲面超精密加工中所運用的插補演算法的發展概況。

This paper researches the basic statistical rule of oil - gas dynamic system from the systematic theory, combining with the common characteristic and structure characteristic of oil - gas dynamic system, taking the design requirement of oil field development programming into consideration, by using of functional simulation principle ( including nn method, differential simulation method ) and historical data of oil field, establishes the in - out conjunctional relationship of dynamic index of oil field development, and researches the two level index prediction of development dynamic with both oil field and oil production plant on the basis of the in - out conjunctional relationship. furthermore, this paper analyzes the " decision - making variable ", " object " and " restriction terms " by the optimization theory and set up several optimal models which compose the oil field development programming, it is following : optimization model of the production composing ( solving the optimal composing of each subentry production and cor responding cost, workload, including the onshore thin oil production, the heavy oil thermal process production, tertiary oil recovery production, and the offshore production ) ; optimization model of measure production structure ( determining the optimal composing of each measure production and measure workload, which is composed of fracture, acidulation, capital repair and so on ) ; optimization model of the production distraction ( optimal distribution of the whole oil field production to each oil production plant ) and the integrated development programming model of oil field

本文從系統理論出發研究油氣動態系統基本統計規律，結合油氣動態系統的一般特點，結構特點，兼顧油田開發規劃設計的要求，利用功能模擬原理（含神經網路方法、微分模擬方法） ，依據油田歷史數據，建立了油田開發動態指標間的輸入輸出關聯關系，並在此輸入輸出關聯關系的基礎上研究了油田及採油廠兩級的開發動態指標預測，同時利用最優化原理，在分析「決策變量」 、 「目標」及「約束條件」的基礎上建立了多個構成油田開發規劃的「優化模型」 ，這些優化模型包括：產量構成優化模型（解決陸上稀油產量、稠油熱采產量、三次採油產量、海上產量及對應的成本、工作量的最優構成問題） ；措施產量結構優化模型（解決壓裂、酸化、大修等各項措施產量及措施工作量的最優構成問題） ；產量分配優化模型（將油田的產量最優地分配到各採油廠）以及油田綜合開發規劃模型。

Nn fibre plus is a sugar - free, superior high - fibre formula that contains psyllium, orange fibres, arabic gum fibre and maltodextrin

本高纖飲品是一種不含糖分的高纖維配方，含有亞麻籽、鮮橙纖維、阿拉伯樹膠纖維及麥芽糖糊精。

In other words, we depend on the strong ability of classification of nn to recognize the characters of a car plate ; 4 ) under the precondition of inadequate samples, we introduce the technology of additional sample in the progress of characters recognition which uses experiential knowledge to construct some sample artificially and then inserted these samples into the sample set in order to improve the performance of network

在字元的識別過程中，在使用較為簡單的圖像處理技術的基礎上，仍然使用構造性的覆蓋演算法，依靠神經網路強大的分類能力來對車牌字元進行識別： 4探討了在樣本數量較少的情況下，通過在字元識別過程中引入附加樣本的技術，利用先驗知識對原先的樣本集進行擴充，從而提高網路的性能。

Based on the analysis of the characteristics of the raw mix slurry preparing process in alumina sintering production process, firstly, a mechanism model based on material balance principle was established as the master - rule model for the quality prediction ; secondly, considering the problem that the alkali liquor composition was unstable and its real - time measurement was difficult, a nn ( neural networks ) prediction model for the prediction of the alkali liquor composition was set up and nesting - integrated with the mechanism model ; finally, using the gray theory for the information mining from the errors of the mechanism model, a gm ( 1, 1 ) compensation model was put forward and parallel - connection - integrated with the mechanism model, achieving a raw mix slurry quality prediction model

摘要針對燒結法氧化鋁生產過程中生料漿配料工藝的特點，根據物料平衡的原理建立機理模型，作為生料漿質量預測的主規律模型；針對堿液成分波動大且難以實時檢測的問題，對堿液成分含量建立了神經網路預測模型，並和機理模型進行嵌套集成；利用灰色理論對機理模型的偏差數據進行信息挖掘，建立了gm （ 1 ， 1 ）補償模型，並與機理模型進行並聯集成，獲得生料漿質量預測模型。

1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages

為了使入侵檢測系統對新的入侵行為有更好的識別能力和識別效率，本文在研究了各種基於無監督學習的入侵檢測特徵提取方法的基礎上，提出了基於增量核主成份分析（ ikpca ）的入侵檢測特徵提取方法，並對該方法進行了收斂性分析，同時結合模擬試驗對其正確性進行了驗證;另外，本文通過研究獨立成份分析和神經網路，提出了基於快速獨立成份分析和神經網路的入侵檢測方法（ fastica - nnids ） ，並通過對kddcup99的10 %數據集的檢測比較了核主成份分析（ kpca ） 、增量核主成份分析（ ikpca ）和快速獨立成份分析（ fastica ）在入侵檢測特徵提取方面的優缺點。

A new nn is presented and put into modeling work for the test. the empirical test indicates this kind of nn can perform excellent than traditional modeling methods such as linear interpolation, cubic spline interpolation

把這種網路用在智能金免疫層析試條定量測試系統數學模型的建立中，將其結果與傳統插值法如線性插值、三次樣條插值法的建模結果相比，效果較好。

It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用

On the basis of introducing the theory of fuzzy control ( fc ) and neural network ( nn ) as a whole, this paper presented a new mixed control method, which was called as neural network - fuzzy control. ( nn - fc ). the nn - fc method combined the strong self - study ability of neural network and powerful experience - expressing ability of fuzzy control to meet the need of real - time control

在系統地介紹智能控制理論中的模糊控制和神經網路控制理論之後，引入了模糊控制和神經網路控制相結合的產物? ?神經模糊控制，將模糊邏輯推理的強大結構性知識表達能力與神經網路的強大自學習能力集於一體，彌補了模糊控制需要系統先驗知識且缺乏自學習功能的不足。

Abstract : according to analyzing of all the factors concerned with the threatening degree of oil spill, it ' s proposed that weight of the factor s is ascertained by fuzzy nn. moreover, to ascertain the threatening degree and th e grade of the oil spill accident by fuzzy integrated evaluation has laid a foun dation for making oil spill emergency decision

文摘:在綜合分析影響溢油事故威脅程度有關的諸多因素的基礎上，提出使用模糊神經網路技術來確定各影響因素的權重，進而使用模糊綜合評價的方法來評定溢油事故的威脅程度及等級，為進一步的溢油事故應急決策奠定基礎。

In the design of the device, a kind of junction termination technology, polysilicon field plate was introduced at the edge of source and drain of the device. it reduced the electric field of pn junction and nn + at the surface to avoid breakdown at the two points

在器件設計過程中，在源端和漏端都採用了多晶場板技術，減小了表面pn結和nn +處的峰值電場，避免了器件在這兩處過早擊穿。

Basing on the non - linear system ' s modeling method of nn, it develops the modeling research that utilizes the mutual makeup in elman dynamic nn and invigorative model

基於神經網路的非線性系統建模方法，開展了利用elman動態神經網路與機力模型互補的建模研究。

Personal credit evaluation system based on nn

軍事評估指標權重的非線性修正模型

Based on different texture of the face and the inverse of leather, this paper extracted characteristic vector of the face and the inverse of leather using co - occurrence matrix and classified the face and the inverse of leather using fisher classifier and nn base on characteristic vector

由於皮革正面和反面具有明顯不同的紋理特徵，本文用共生矩陣提取皮革正反面的紋理特徵，並根據提取的特徵向量採用分類器對皮革正反面進行自動識別和分類。

Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。