Utilizing the idea of sfs ( shape from shading ) and the facial constrained information , we reconstruct face model by single frontal face image . we utilize orthogonal image method to generate individualized face model by adjusting the parameters of the candide - 4 . we realize an algorithm based on minimum features for rapid face modeling from video , by tracking feature points , calibrating exterior parameter , estimating 3d location of feature points 利用shapefromshading的思想和人臉的約束信息實(shí)現(xiàn)了基于單幅正面人臉圖像的重建;以candide - 4的參數(shù)調(diào)整為手段實(shí)現(xiàn)基于兩幅正交圖像的人臉模型重建;通過(guò)跟蹤視頻中的特征點(diǎn),標(biāo)定相機(jī)外參,進(jìn)而估計(jì)特征點(diǎn)的3d位置,實(shí)現(xiàn)了基于一段視頻中小特征點(diǎn)集的人臉建模算法。
The definitions of fuzzy colored petri net and fuzzy petri net are modified . and two modeling algorithms based them are proposed to solve issues of existing fuzzy petri net models . therefore , fuzzy petri net models can reason correctly complex problems according to mechanism in themselves 擴(kuò)展了模糊有色petri網(wǎng)系統(tǒng)和模糊petri網(wǎng)系統(tǒng),并分別提出了兩者的推理建模算法,以解決己有模糊petri網(wǎng)模型存在的問(wèn)題,使模糊petri網(wǎng)能夠完全依靠自身機(jī)理實(shí)現(xiàn)復(fù)雜實(shí)際問(wèn)題的正確推理。
This thesis first describes the general research development of bp network , kde , genetic algorithm , arx model and their specific application in dms such as architecture , algorithm - flow etc . then the paper introduces the distributed object technique with the focus on the description of corba and the specific developing tools visibroker . finally , a multi - client distributed monitoring system based on corba is developed with multi - technologies referred before 本文首先系統(tǒng)地介紹了bp神經(jīng)網(wǎng)絡(luò)、核函數(shù)概率估計(jì)( kde ) 、遺傳算法( ga )和帶外生變量的自回歸模型( arx )發(fā)展和研究概況以及上述建模算法在分布式監(jiān)測(cè)系統(tǒng)中的應(yīng)用,并給出了運(yùn)用石油流化催化裂化模擬設(shè)備的數(shù)據(jù)測(cè)試結(jié)果。
A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand . deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time , the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm . moreover , by introducing memory function and vaccine inoculation mechanism of immune system , at the same time , deca can converge to the optimal solution rapidly and stably . the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models . the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples , and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes 針對(duì)模糊聚類算法不適應(yīng)復(fù)雜環(huán)境的問(wèn)題,提出了一種新的動(dòng)態(tài)進(jìn)化聚類算法,克服了傳統(tǒng)模糊聚類建模算法須事先確定規(guī)則數(shù)的缺陷.通過(guò)改進(jìn)的遺傳策略來(lái)優(yōu)化染色體長(zhǎng)度,實(shí)現(xiàn)對(duì)聚類個(gè)數(shù)進(jìn)行全局尋優(yōu);利用fcm算法加快聚類中心參數(shù)的收斂;并引入免疫系統(tǒng)的記憶功能和疫苗接種機(jī)理,使算法能快速穩(wěn)定地收斂到最優(yōu)解.利用這種高效的動(dòng)態(tài)聚類算法辨識(shí)模糊模型,可同時(shí)得到合適的模糊規(guī)則數(shù)和準(zhǔn)確的前提參數(shù),將其應(yīng)用于控制過(guò)程可獲得高精度的非線性模糊模型
The main result of this thesis is as follows : first , because compositional modeling resembles the characteristics of object oriented simulation , such as knowledge representation , object depiction and modeling algorithms , i propose the conception of object - oriented ( oo ) qualitative compositional modeling . by introducing oo method through compositional modeling , i build the formal representation mechanism of object - oriented qualitative compositional modeling , and develop the oo description of qualitative model units . this is one of the main characters of the dissertation 本文的主要研究?jī)?nèi)容和創(chuàng)新成果如下:首先,針對(duì)組合建模與面向?qū)ο蠓抡嬖谥R(shí)表示、對(duì)象描述、建模算法等方面的類似特點(diǎn),本文提出了面向?qū)ο蟮亩ㄐ越M合建模思想,通過(guò)將面向?qū)ο蠓椒ㄒ虢M合建模體系,建立了面向?qū)ο蠼M合建模的形式化描述機(jī)制,實(shí)現(xiàn)了定性建模知識(shí)單元的面向?qū)ο竺枋?,這是本文的一個(gè)主要特色和創(chuàng)新。
To popularize the soft measurement modeling based the data , a software prototype is needed . it can establish the soft measurement modeling based the data off - line , provide the necessary pretreatment of data and some soft measurement modeling arithmetics , exhibit a balanced human - machine interface 為了使基于數(shù)據(jù)的軟測(cè)量建模方法得以進(jìn)一步推廣,有必要開(kāi)發(fā)產(chǎn)品化的軟測(cè)量建模軟件原型。該軟件可根據(jù)現(xiàn)場(chǎng)數(shù)據(jù)離線建立過(guò)程的軟測(cè)量模型,提供必要的數(shù)據(jù)預(yù)處理方法及多種軟測(cè)量建模算法,并具有良好的人機(jī)界面。