linear network method 中文意思是什麼
linear network method
解釋
線性網路法-
Then we present a toa / tdoa data fusion model based on mathematical statistics for radiolocation in cellular network, and fuse toa / tdoa measurements through a best linear fusion method and a mobile position based dynamic location algorithm, which shows good performance of robustness and accuracy
然後，從數理統計的角度出發，構造了一個toa和tdoa進行位置估計的數據融合模型。主要利用一種最佳線性融合策略和基於移動臺位置的動態定位演算法對toa和tdoa測量數據進行融合，有效的提高了演算法可靠性和準確度。 -
Finally, the method of estimating power customer emission level based on binary linear regression is put forward, which make it a condition that harmonic emission is steady at the point of common coupling. combined with power system thevenin equivalent and customer norton equivalent, according to the principle of least squares method, the voltage that a customer ' s harmonic current begets at the point of common coupling can be estimated in the light of the plural correlation of network parameters
最後，提出了基於二元線性回歸的用戶諧波發射水平估計方法，該方法在假設公共聯接點諧波發射穩定的情況下，結合系統側戴維南等值與用戶側諾頓等值的電路圖，按照最小二乘法原理，利用電網各參數的復數關系推導關于系統側諧波阻抗的二元線性回歸方程，並根據諧波阻抗的估計值求取用戶諧波電流在公共聯四川大學碩士學位論文（ 2003 ）接點產生的電壓降。 -
The research works finished in this paper are listed below : 1. solving the problem in testing of cylinder vessels that the sensors disposition is very rigorous, carrying out study of freewill triangle network orientation and linear orientation, bringing forward the discriminance which distinguish the validity of orientation array using character string method the first time, at the same time, solving the problems that judgement of orientation array, elimination of camouflage location, avoidance of repeat location, etc. 1 '. carry ing out the study of the orientation of defects in stand lank floor with the method of freewill planar triangle orientation, advancing bran - new discriminance on the validity of orientation arrays, orientation points, and the disposing means of the acoustic sources near sensors and those near common border
本文進行的主要研究工作有： 1解決柱式容器檢測中傳感器排布要求較嚴格的問題，開展任意三角形網路排布檢測技術與線定位技術研究，首次提出了利用字元串格式判斷線定位陣列有效性的判別方法，並解決了任意三角形定位中存在的定位陣列判斷，偽定位的剔除，重復定位的避免等一系列問題； 2利用平面任意三角形定位方法開展常壓立式儲罐罐底缺陷定位技術研究，提出了全新的定位陣列有效性判斷、定位點的有效性判斷方法；以及頂點聲源和邊界聲源的處理辦法。 -
Abstract : an algorithm is presented for better legal solution in detailed placement of large scale mixed macros and standard cells ic design. due to the limitation of computing complexity, an effective and efficient initial placement is very important for detailed placement. novelty of this algorithm lies in a better solution at initial stage by using network - flow method to satisfy row capacity constraint and the thought of linear placement problem ( lpp ) to resolve overlaps. moreover, divide - and - conquer strategy and other simplified methods are adopted to minimize complexity. experimental results show that the algorithm can get an average of 16 wire length improvement on paflo in reasonable cpu time
文摘:以大規模混合模式布局問題為背景，提出了有效的初始詳細布局演算法.在大規模混合模式布局問題中，由於受到計算復雜性的限制，有效的初始布局演算法顯得非常重要.該演算法採用網路流方法來滿足行容量約束，採用線性布局策略解決單元重疊問題.同時，為解決大規模設計問題，整體上採用分治策略和簡化策略，有效地控制問題的規模，以時間開銷的少量增加換取線長的明顯改善.實驗結果表明該演算法能夠取得比較好的效果，平均比paflo演算法有16的線長改善，而cpu計算時間只有少量增加 -
After knowing fully the present situation of business operation of the golden cereal company and development characteristics in logistic - system field, the mathematics model of logistics system has been established in the article with the application of linear program method in operational research, as well as the strategy of minimum route in graph theory and the thought of transiting all over ; meanwhile, on the foundation of internet network technology and structure of b / s, the online optimization design and production of web page have been carried out for the logistic - system of the golden grain farming capital company with adoption of jsp ( java server page ) technology and sql server database technology
本文在充分了解金色谷農資公司的業務運行現狀和物流配送行業發展特點的基礎上，應用運籌學的線形規劃方法，以及圖論中最短路徑的策略和圖的遍歷的思想，建立了配送系統數學模型；並基於internet網路技術b s結構基礎上，採用jsp （ javaserverpage ）技術和sqlserver數據庫技術，對金色谷農資公司物流配送系統進行了網上優化設計及網頁製作，研製開發了金色谷農資智能配送網。 -
Under windows nt and labview development environment, using the linear fit module, exponential fit module > general polynomial fit module of labview to design a method for fitting the experiment data, the results of curve fitting indicate that the purpose of general polynomial fitting is better than the rest. separating the equivalent input impedance of magnetostrictive transducers without stimulate current from input impedance of it with stimulate loop based on the results of curve fitting, and determining the syntony frequency and electric simulation network parameters of magnetostrictive transducers by this input impedance. finally, with labview network functions, realizing magnetostrictive transducer electric simulation system based on web server and discussing a scheme for this system network by datasocket. the method of this paper can more accurately determine the syntony frequency and electric simulation network parameters of magnetostrictive transducers than the testing method of syntony & anti - syntony. at the same time, discussing virtual instrument measurement system and how to realize magnetostrictive transducer electric simulation network system by labview network functions of network virtual instrument measurement development environment
在windowsnt系統環境和labview虛擬儀器技術開發平臺下，首次利用labview中的直線擬合模塊、指數擬合模塊以及多項式擬合模塊，設計了一種對實驗所得數據進行曲線擬合的方法，對三種擬合方法進行了比較，曲線擬合結果表明，多項式擬合方法相對于其它兩種擬合方法效果更好；根據曲線擬合的結果可從帶激勵線圈的磁致伸縮換能器的輸入阻抗中分離出磁致伸縮換能器鐵芯在無激勵電流時機械振動形成的等效輸入阻抗，並由此輸入阻抗確定了磁致伸縮換能器的諧振頻率及其電氣模擬網路參數；最後通過labview提供的網路功能，實現了基於web服務器的磁致伸縮換能器電氣模擬虛擬儀器測試系統，並探討了通過datasocket技術實現該系統網路化的方案。 -
Neural network has the ability of approaching nonlinear function at random precision, so that correct non - linear errors of angular rate sensor on the basis of neural network method
神經網路具有理論上以任意精度逼近非線性函數的能力，故本文採用基於神經網路方法來校正角速度傳感器的非線性誤差。 -
Finally, take example for a non - linear function, method mentioned in this paper is used to design wavelet neural network to approximate this function. the computer simulations confirm the method that is brought out in this paper is useful, and prove that wavelet neural network has not only fast convergence and better precision of approximation, but also good capability of forecasting and escaping error
最後，對於一個實際的非線性函數，用本文介紹的方法來設計小波神經網路來逼近函數，模擬結果表明該方法的有效性，並且表明小波神經網路在函數逼近上，網路的收斂速度快，逼近精度高的特點，並且網路具有很好的泛化能力和容錯性。 -
Finally, a feedback control system of neural network was designed and a special learning method was produced to train the neural network which was applied in the non - linear model of semi - active suspension. the result of test showed ride comfort and handling was improved preferably after the control, and the semi - active suspension system harmonized the vehicle performance with the controller
最後，設計了神經網路反饋控制系統，採用一種特殊學習（直接學習）方法對其進行訓練，並將其應用於半主動懸架非線性模型的模擬驗證，通過對多種路面激勵輸入條件下的模擬分析表明：該神經網路反饋控制系統可以較好地提高車輛的乘坐舒適性和操縱穩定性，採用這種神經網路反饋控制的半主動懸架，可以較好地協調車輛性能。 -
Based on the historical space forecast data and corresponding actual data provided by a global semiconductor assembly and test company, the uncertainty of space planning was defined. during this analysis process, linear regression, grey prediction, neural network back propagation algorithm and confidence interval were applied, respectively, to define the uncertainty. compared with those methods, the confidence interval of historical space forecast error, calculated by mathematical statistics, was the reasonable method to define the space forecasting uncertainty
本文從半導體工廠長期生產能力計劃的頂層即廠房生產面積的計劃展開，對一跨國半導體封裝測試公司提供的廠房生產面積的長期歷史預測數據以及對應的真實數據進行分析，採用線性回歸，灰預測，神經網路bp演算法，基於數理統計的置信區間的求解等方法分別定義廠房生產面積預測的不確定度，經多種方法的比較得出，基於數理統計方法求解出的生產面積歷史預測誤差置信區間能直觀清楚地標定不確定度。 -
In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element, low content and thick ground, we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works. as the first one, we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples, and taken both results of spectrum analysis to compare with each other. the second, the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples
針對科技考古中對大量考古陶片進行產地研究時x熒光分析對多元素、低含量、厚基底考古陶片產生的復雜譜分析的問題，將人工神經網路引入x熒光考古中，進行了三方面的研究工作：一是用線性olam網路（最優線性聯想網路）和非線性bp網路（誤差反傳導網路）分別對考古樣品的x熒光復雜譜進行解譜，並比較二者的解譜效果；二是用bp網路模式識別方法對考古樣品的產地進行智能識別；三是為了提高網路運算的可靠性和減小基體效應及電噪聲的干擾和影響，研究並提出了三種網路學習前的譜數據預處理方法。 -
Summaries are made concerning the typical network optimization problem. the paper independently puts forward several optimal methods to improve network traffic transmission, such as the maximum - flow problem over mpls, including the arc - based and path - based solution, which adopt the method of splitting and unsplitting traffic, the solution to the greatest reliability of transmission, the solution to concurrent maximum - flow for load balance via linear programming. on the basis of mpls path protection several protection methods over mpls are proposed, including n - to - 1, n - to - m protection solution in splitting and unsplitting cases and in diffserv cases, whose partial simulation results are provided as well
即： 1 ） mpls網路最大流傳輸問題，包括基於弧的最大流解決方案、基於路徑的最大流解決方案，分流與不分流的最大流處理方法以及多源多匯最大流解決方案； 2 ）最大可靠性傳輸問摘要博士論文題: 3 ）基於弧的求解流量負載平衡問題的線性規劃方法; 4 ）基於路徑的流量負載平衡方法以及其他負載均衡問題; 5 ）在mpls路徑保護的思想和方法的基礎上，提出了基於mpls的若干新的路徑保護方法，即n一t 。 -
When the network - induced delay is less than and more than one sampling period, the augmented state vector method is used respectively to model the system as a finite - dimensional discrete - time lti ( linear time - invariant ) system
在網路誘導時延小於和大於一個采樣周期的情況下，分別利用增廣狀態向量法，將系統建模為有限維離散時間線性時不變系統。 -
We implement the traffic generator by these studies. the thesis focuses on how to generate abundance flow, how to send flow fastly, how to measure network, how to synchronize flow sender and flow receiver. we use some solution to resolve the problems, including that using linear congruential and modifying select - giveup algorithm to generate random number, implement class that has good application interface to user, making random number as packet ’ s inter - departure - time and packet size, which can provide flow base on special distribution, designing and implementing a method to active measure by our traffic generator, designing a accurately time counter and precision delay function, synchronizing flow sender and receiver by tgm message
通過對現有技術的研究和改進，我們形成的解決方案如下:通過利用改進的線性同余演算法，以及對舍選法進行研究和改進，實現了一個具有良好應用介面的隨機變量生成器，利用其產生的隨機數作為發包的間隔或包的尺寸，以產生服從特定模式的流;利用傳輸的數據包設計並實現了網路的主動測量，為網路測量和流的發送設計了高精度的計時器，精確延時函數;利用自定義的tgm報文協調發送端和接收端的操作。 -
( 4 ) because calculation of stress intensity factors using the finite element method of the linear elastic fracture mechanics cannot satisfy the need for the real - time monitoring and the real - time analysis of cracks in concrete dams, a four - layer neural network optimized by genetic algorithm and chaos optimization algorithm is proposed. the example shows that the optimized neural network can yield good results
（ 4 ）用斷裂力學有限元計算應力強度因子不能滿足對混凝土壩裂縫實時監測、實時分析中的要求，提出了利用遺傳演算法和混沌優化演算法改進的四層神經網路的解決方法，實例分析表明，本文提出的四層優化神經網路計算的應力強度因子接近於用斷裂力學有限元計算的應力強度因子。 -
This dissertation presented two new methods of robust adaptive track control for a class of mimo strong nonlinear system with external disturbance. one method makes use of taylor approximation principle to linearize the mimo strong nonlinear system at the ideal equilibrium point, meanwhile external disturbance is considered, and then designs two on - line neural network controller respectively, which can dynamically compensate the high order items of taylor series and the control signals at ideal equilibrium point under the drive of state error between linear and nonlinear system. a linear feedback controller obtained by pole assignment and two on - line neural network act on the practical mimo high nonlinear system together, guaranteeing the whole system robust stable and tracking the specified signal ; the other method designs three on - line neural networks for this class of system
本文對於一類含有外部擾動的多輸入多輸出（ mimo ）強非線性系統，提出了兩種新的魯棒自適應跟蹤控制方法，第一種利用了taylor近似的原理，在考慮了外部擾動的情況下，將mimo強非線性系統在理想平衡點處線性化，分別設計了兩個在線神經網路控制器，在線性和非線性系統之間的狀態誤差驅動下動態補償系統的taylor近似高階項及理想平衡點處的控制信號，滿足極點配置方法的線性反饋控制器和兩個在線神經網路聯合作用於實際的被控mimo強非線性系統，在保證整個系統魯棒穩定性的情況下，能夠跟蹤給定的指令信號；另一種方法是針對這類系統設計了3個在線神經網路，分別實時抵消這類非線性系統中的非線性部分、與控制量耦合的非線性項以及外部擾動，使得受控系統的輸出可以完全跟蹤給定輸入參考信號。 -
Based on the analysis of energy consumption caused by different forces inside network and the influences of different routing algorithms on the net life - time circle, a method was proposed to extend the net lifetime circle by changing the density distribution of net energy distribution under the circumstances of linear uniform distributed wireless sensor networks
摘要在線性均勻分佈的無線傳感器網路中，通過分析網路內各種載荷引起的能量消耗及各類路由演算法對網路生命周期的影響，提出了通過改變網路能量分佈密度來提高網路生命周期的方法。 -
A neural network method for generrating the linear prediction coefficients of random sequences
一種求線性預測系數的神經網路方法 -
4 different types ’ features were generated, namely ar model parameters, power spectral frequency band intensity, energy for wavelet packet decomposition, wavelet packet entropy. every type of features were extracted respectively using pca and ica method and classified using linear neural network, knn and bp network
建立了ar模型參數、功率譜估計頻帶強度、小波包分解能量比率、小波包熵四種特徵，分別使用pca與ica進行特徵提取，採用線性神經網路、 k -緊鄰法、 bp神經網路四種分類器進行分類。 -
Adjoint network of linear circuits is used to solve microwave nonlinear circuits problems. in the paper, a unified adjoint network method of linear and nonlinear circuits is presented. this method can calculate sensitivity quickly
把線性電路中的伴隨網路法運用到微波非線性電路中，文中給出了對線性與非線性電路都適用的伴隨網路法，能快速求解非線性電路中精確的靈敏度
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