The multi - layer model algorithm not only calculates the thickness of gate dielectric but also validates whether the model is proper . it has high practical merit to analyze the structure of gate dielectric 這種算法和軟件的實(shí)現(xiàn)對(duì)于mos柵介質(zhì)層的結(jié)構(gòu)分析有很高的實(shí)用價(jià)值,對(duì)于微電子器件的結(jié)構(gòu)研究有一定的推動(dòng)作用。
( 7 ) based on the modeling algorithm of modified fuzzy petri net , business and financial fields of mechanical industrial engineering enterprises , which combine quantitative and qualitative relation ( 7 )基于擴(kuò)展模糊petri網(wǎng)的建模算法,對(duì)機(jī)械工程工業(yè)企業(yè)中既包含定性關(guān)系又包含定量關(guān)系的業(yè)務(wù)和財(cái)務(wù)問(wèn)題,進(jìn)行企業(yè)診斷建模和推理的應(yīng)用仿真。
A new weighted modeling algorithm is presented and the weight value learning algorithm is solved , another integrated modeling method is also presented . two models can improve the precision compared to the traditional algorithm 首先對(duì)基于矢量法的誤差綜合模型進(jìn)行了改進(jìn),將刀具磨損考慮其中,這樣使得誤差模型更為全面,并且提出了誤差補(bǔ)償?shù)膶?shí)現(xiàn)方案。
Ar model algorithm and fft algorithm for resolving power spectrum is compared as well . it shows that ar model algorithm is better than fft method . analyzing 15 minute hrv ( sit ) of 23 healthy persons by using ar and fft method 對(duì)23例正常人(坐姿) 15分鐘hrv信號(hào)分別采用fft和現(xiàn)代譜估計(jì)得到的功率譜進(jìn)行統(tǒng)計(jì),發(fā)現(xiàn)兩種方法所得vlf 、 lf 、 hf基本吻合(相同性別相應(yīng)年齡段) 。
The monitoring of landslide is taken as the tracking of mobile object , and based on the shortage of the conventional tracking algorithm of mobile object , the interacting multiple models algorithm is used in to process the landslide monitoring data for the first time 摘要將滑坡的監(jiān)測(cè)視為機(jī)動(dòng)目標(biāo)的跟蹤問(wèn)題,基于傳統(tǒng)機(jī)動(dòng)目標(biāo)跟蹤算法的不足,首次引入交互多模算法對(duì)滑坡監(jiān)測(cè)數(shù)據(jù)進(jìn)行處理。
And then the issue of automatic identification of gun - powder product dose is described and the model algorithms that apply to this issue are expounded : the model system of automatic identification based on genetic algorithms and neural network 然后,對(duì)火炸藥產(chǎn)品自動(dòng)藥劑量辨識(shí)問(wèn)題進(jìn)行了描述,提出了用于火炸藥產(chǎn)品的藥劑量自動(dòng)辨識(shí)問(wèn)題的模型算法:基于遺傳算法神經(jīng)網(wǎng)絡(luò)的自動(dòng)辨識(shí)模型系統(tǒng)。
Using ls 5000 3d laser scanner , an efficient realistic 3d face modeling algorithm was proposed to create virtual actor for film and tv animation . inputting the point cloud data and uncalibrated photographs of the real actors face as well as little use . . 只需輸入真實(shí)演員人臉的三維掃描點(diǎn)云和未定標(biāo)的照片,以及極少的人工交互,即可生成虛擬演員真實(shí)感的三維人臉模型包括幾何模型紋理模型和面向動(dòng)畫(huà)的可變模型。
According to the data of the covariance - stationary stochastic time series , we can get the state space modeling algorithm quickly and stably by singular value decompositi on and orthogonal projection . this algorithm will be faster and more stable 在已知平穩(wěn)隨機(jī)時(shí)間序列樣本數(shù)據(jù)的情況下,論述了如何采用正交投影算法和正交奇異值算法建立隨機(jī)時(shí)間序列的狀態(tài)空間模型和狀態(tài)矢量估計(jì),這種數(shù)學(xué)建模方法對(duì)于船舶機(jī)艙中的系統(tǒng)數(shù)學(xué)建模有很大的幫助
Based on the analysis and prediction of events and system parameters of various server nodes with time - series model algorithm and event classification matching algorithm , combined with policy database technology , an autonomic computing model of server system management was established 摘要利用時(shí)序模型算法和事件分類匹配算法對(duì)服務(wù)器系統(tǒng)多個(gè)節(jié)點(diǎn)的事件和系統(tǒng)參數(shù)進(jìn)行分析與預(yù)側(cè),結(jié)合策略庫(kù)技術(shù),構(gòu)建了一個(gè)服務(wù)器系統(tǒng)管理的自律計(jì)算模型。
Simulation studies demonstrate good behaviors . the whole thesis includes 5 chapters , and the main contents and conclusions are summarized as follows : in chapter 1 , we review the basic theory and three typical algorithms of predictive control that included model algorithm control , generalized predictive control and recursive horizon control , some details of generalized predictive control was specially described , we introduced the direct indirect algorithms and other kinds of algorithms 全文共分為五章,主要內(nèi)容和結(jié)論如下:第一章:簡(jiǎn)要回顧了預(yù)測(cè)控制的基本原理并對(duì)當(dāng)前三種典型算法:模型算法控制、廣義預(yù)測(cè)控制和滾動(dòng)時(shí)域控制進(jìn)行了評(píng)述,尤其對(duì)廣義預(yù)測(cè)控制算法進(jìn)行了詳細(xì)的敘述,詳細(xì)地介紹了廣義預(yù)測(cè)控制算法直接、間接算法和其他各類算法。