擬遺傳型 的英文怎麼說
中文拼音 [nǐyízhuànxíng]
擬遺傳型
英文
genocopy-
To better elucidate the following critical problems - - building the rational mathematics model and searching the effective algorithms, this paper sets forth the basis of algorithms and heuristic algorithm. meanwhile it compendiously introduces the main principles of genetic algorithm and the stimulated annealing algorithm, principal parameters during the course of solving problems and vertex coloring theory
為了更好地說明下文所要解決的關鍵問題? ?建立合理的數學模型和尋找有效可行的演算法，本文闡述了演算法和啟發式演算法的理論基礎，並扼要地介紹了遺傳演算法、模擬退火演算法的主要思想和在解題過程中應用的重要參數，以及圖的著色理論；及其在作業計劃編制中應用的可能性。Abstract : aiming at the variety of modals of nonlinear systems, we proposed a general parameter estimation method based on genetic algorithms ( ga ), which can be used in most kinds of nonlinear system modal. this method was applied to simulating parameter estimation of several different examples of nonlinear systems. the results proved that the method is effective and useable
文摘:針對非線性系統模型的多樣性，提出適用於多種非線性模型的基於遺傳演算法的參數估計方法，並以多種非線性模型為例作了模擬研究.結果表明，遺傳演算法是非線性系統模型參數估計的有效工具81 % and 58. 82 % in those of the control plants respectively. all showed that low - energy ions cause the seed germination vigor to decrease
由此可見，低能離子注入不僅可以引起擬南芥苗的生長狀態和表型的變異，而且部分變異是可以穩定遺傳的。A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method
提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求，選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化，再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法，通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍，以速度調節器和電流調節器的參數為染色體中的基因，通過遺傳演算法在搜索范圍中優化這些基因，獲得優化解.實驗結果表明，所設計的參數能使系統性能指標有顯著提高Application of the algorithm for different observed head data sets indicate that the model can be successfully applied for aquifer systems where data available may be sparse and with errors. calculated groundwater heads by identification results in fourteen parameter areas are fit for observed heads in field, and flowing filed is similar. the study demonstrates the effectiveness of the ga global optimization model for parameter identification, which is an important step towards real system simulation and effective planning and management of groundwater resources
通過算例研究，表明上述演算法可行，且rbf神經網路方法和退火遺傳演算法對地下水系統參數的識別效果都較好，而退火遺傳演算法較之標準的遺傳演算法具有更好的收斂性將演算法應用到北京市密懷順地區，在收集、分析研究區資料基礎上，建立了北京市密懷順平原區地下水模擬模型，並用遺傳演算法進行了地下水系統參數識別，在十四個分區情況下，計算水位與實際水位擬合的較好，各應力期末的計算與實測等水位線基本一致，表明該識別值較為合理。The objective of the optimal model is to keep the flood process mode similar and subject to restrictions of the actual peak flow discharge and flood volume in different period of time, the ga and prsaa that have global optimal capabilities are used to solve the model in this paper
在滿足洪峰流量約束和分時段洪量約束條件下，本文建立了以洪水過程模式盡量相似為目標的洪水過程放大優化模型，並採用具有全局搜索能力的遺傳演算法和并行組合模擬退火演算法求解該模型。Data processing is performed by pc ， which includes detecting rough error by quartile method base on first order differential, adopting three points algorithm to eliminate deviations of rack displacement and installation, applying minimum containing area method to evaluate the sectional plane radius of roller and realizing it by genetic algorithm, adopting akima method to fit curve of roll profile
主要的數據處理工作在上位機進行，採用基於差分法的分位數演算法剔除粗大誤差；採用三點式測量原理消除探頭的安裝及運動所產生的誤差；採用最小包容區域法評定軋輥半徑，並應用遺傳演算法實現最小包容區域法的尋優計算；採用阿克瑪插值方法進行輥型的曲線擬合。Genetic algorithm, as a computational model simulating the biological evolution process of the genetic selection theory of dar - win, is a whole new global optimization algorithm and is widely used in many fields with its remarkable characteristic of simplicity, commonability, stability, suitability for parallel processing, high - efficiency, and practibility. on the other hand, there are many op - timization problems in the field of digital image processing, such as image compression, pattern - recognition, image rectification, image segmentation, 3d image recovery, image inquiry, and or so. in fact all these problems can be generalized as the problem of searching for a global optimal solution in a large solution space, which is the classic application field of genetic algorithm
遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種新的全局優化搜索演算法，具有簡單通用、穩定性強、適于并行處理以及高效、實用等顯著特點，在很多領域得到了廣泛應用，另一方面，在圖像處理領域有很多優化問題如圖像壓縮，模式識別，圖像校準，圖像分割，三維重建，圖像檢索等等，實際上都等同於一個大范圍搜索尋優問題，而最優化問題是遺傳演算法經典應用領域，因此遺傳演算法完全勝任在圖像處理中優化方面的計算。The future characterization and genetic analysis for candidate mutant were carried out and find that some candidate mutant ( such as roi30 doil - 1 doi0311131 ) have good phenotype by drought h2o2 aba - stressed treatment. at the same time we also observe the development of candidate mutant at different growth stages carefully. many modal difference between mutant an d wild type at the same period were found, such as more rosette layering fatty and big in leaves, advancment or delay for the flower period, rosettes living in the main stem, shorten in figure, the amount of seed little, sterilization etc. these physiological and modal changes may reflect with maladjustment in expressions of some gene and confusion on their inner control, . we will futher study concrete and detailed function mechanism
我們對這些擬南芥侯選突變體進行進一步的鑒定和遺傳學分析，發現ro口口、 doil 、 doi口jlll3i等潛在突變株對aba 、過氧化氫及早脅迫有明顯表型，同時對潛在突變體的生長發育進行了詳細的觀察，發現多數潛在突變株與同條件下野生型比出現了許多明顯的形態改變，如:蓮座基葉增多、分層、肥大，花期提前或延遲，主莖生輪座，株型矮化，產籽量少，不育，敗育等，這些生理和形態上的差異很可能反映了它們內部某些基因的表達受到了影響、代謝調控發生了紊亂，具體和詳細的作用機制還需要進一步的研究。Monte carlo simulations were conducted to study the new approaches of qtl mapping, the results indicated that general least squares ( gls ) method, which was widely applied in mixed linear model, could unbiasedly estimate all genetic main effects, including additive effects, dominance effects and epistatic effects of additive by additive, additive by dominance, dominance by additive, dominance by dominance. the interaction effects between genetic main effects and environments could also be predicted unbiasedly by linear unbiased prediction ( lup ). the heterosis prediction based on qtl effects was also unbiased
對新提出的qtl分析方法進行了montecarlo模擬研究，結果表明，廣泛應用於混合線性模型的廣義最小二乘法（ gls ）能夠無偏估計加性效應，顯性效應以及加加、加顯、顯加、顯顯上位性效應等各項遺傳主效應；運用線性無偏預測法（ lup ）能夠無偏預測上述各項遺傳主效應與環境的互作效應；基於qtl效應的雜種優勢預測也是無偏的。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
本文首先系統地介紹了bp神經網路、核函數概率估計（ kde ） 、遺傳演算法（ ga ）和帶外生變量的自回歸模型（ arx ）發展和研究概況以及上述建模演算法在分散式監測系統中的應用，並給出了運用石油流化催化裂化模擬設備的數據測試結果。Different waterlogging tolerances of nine rapeseed ( brassica napus l. ) genotypes were investigated after germinating seed anoxic stress for 12h and spring field waterlogging for l0d
摘要9個不同遺傳背景的甘藍型油菜品種（系）在室內進行發芽種子水淹和春季田間模擬濕害條件下，研究油菜對濕害脅迫的耐濕遺傳差異。Abstract : reasonably combining the parallel structure of genetic algorithm with the controllable jumping property of simulated annealing, a class of effective and general hybrid optimization strategy is proposed and applied t o estimate the parameters of various kinds of models
文摘:合理融合遺傳演算法的并行搜索結構和模擬退火的可控性概率突跳特性，構造了一類高效的混合優化策略，並用於多種類型模型的參數估計。In order to complete the research on optimal control regular for coal - fired boiler inflammation system. in this paper, a type of coal - fired boiler inflammation system is regarded as the research target, after separately analyzed steam pressure loop and economical inflammation loop, we obtained the relevant control scheme, and designed a kind of fuzzy - pi compound controller on based of genetic algorithm to control two loops, and using genetic algorithm tool kit below the matlab progressed system simulation research
為了完成對燃煤鍋爐燃燒系統的最優控制規律的研究，本文以某型燃煤鍋爐的燃燒系統作為研究對象，分別對其蒸汽壓力迴路和經濟燃燒迴路進行系統分析，得到了相應的控制方案，設計了一種基於遺傳演算法的模糊- pi復合控制器對該系統進行控制，並用matlab下的遺傳演算法工具箱進行了系統模擬研究。Simulation studies for comparing genetics models with additive - dominance - maternal
互作效應遺傳模型的模擬比較Now we shall list our contribution to the transportation problem : ( 1 ) expected value goal programming, chance - constrained goal programming model and dependent - chanced goal programming model of random transportation are constructed ; ( 2 ) expected value goal programming, chance - constrained goal programming model and dependent - chanced goal programming model of fuzzy transportation are constructed ; ( 3 ) expected value goal programming, chance constrained goal programming model and dependent - chance goal programming model of rough transportation problem are constructed ; ( 4 ) enlightened by liu ’ s thought that solve the uncertain programming with hybrid intelligent algorithm, we design a hybrid intelligent algorithm, that is, genetic algorithms based on simulation to achieve the approximate best solution of the nine above mentioned models
得到如下主要結果: （ 1 ）建立了隨機運輸問題目標規劃的期望值模型、機會約束規劃模型、相關機會規劃模型; （ 2 ）建立了模糊運輸問題目標規劃的期望值模型、機會約束規劃模型、相關機會規劃模型; （ 3 ）建立了粗糙運輸問題目標規劃的期望值模型、機會約束規劃模型、相關機會規劃模型; （ 4 ）受liu等人提出的用混合智能演算法求解不確定規劃的思想的啟發，結合運輸模型的特殊結構，設計了一種基於模擬的、求解不確定性運輸問題的遺傳演算法。Then, based on several existed ga methods, a ga methods was applied in the gpp problem with the auv s grid environmental model, and it was tested by the joint simulation experiment in the auv simulation system. the gpp method in ga based on apf was also developed by simulation test
然後在已有幾種遺傳演算法路徑規劃方法的基礎上，針對智能水下機器人的柵格化環境模型，用遺傳演算法進行了全局路徑規劃的研究，並且在水下機器人模擬系統中進行了聯調模擬驗證。The following research areas will be involved in the project : ( 1 ) mechanism of hereditic factors and its function in chinese type 2 diabetes ; ( 2 ) metabolomics on the cell stress and its nutrition intervention in the type 2 diabetes ; ( 3 ) mechanisms of metabolic nuclear receptors in the process of insulin resistance and type 2 diabetes onset ; ( 4 ) roles of signal transduction molecules, lipid metabolic disorder to insulin resistance ; ( 5 ) type 2 diabetes development and role of pathological changes of blood vessels ; ( 6 ) abnormal insulin secretion, apoptosis and type 2 diabetes ; ( 7 ) function of molecular network of type 2 diabetes progression
本項目擬開展以下研究工作： （ 1 ）中國人2型糖尿病發生過程中遺傳因素的發現及其作用機制； （ 2 ）細胞應激在中國人2型糖尿病發生過程中的作用機制及其營養干預的代謝組學； （ 3 ）代謝性核受體在胰島素抵抗和2型糖尿病發病中的作用機制； （ 4 ）細胞信號轉導分子、脂代謝紊亂與胰島素抵抗的關系； （ 5 ） 2型糖尿病發展過程與血管病變； （ 6 ）胰島素分泌異常、細胞凋亡與2型糖尿病； （ 7 ） 2型糖尿病發生過程中的分子網路與作用機制。Secondly, with combination of a certain type of radar, the application of genetic algorithm to optimum code selection and the iteratively reweighted least - square mismatched filter design for sidelobe reduction are discussed. the favorable experimental results are obtained, especially for 64 phase code
最後，我們結合某型雷達，以64相碼信號為例，說明了遺傳優化演算法在編碼搜索中的優越性，並採用了迭代加權最小二乘演算法來設計失配濾波器以達到相位編碼信號的優化副瓣抑制目的，且給出了相應的模擬結果。The effective heat - transfer temperature difference ( t _ i ) of every effect of multi - effect evaporation subsystem and the preheat temperature rise ( t _ ( p, j ) ) of every level of multi - level preheat subsystem of the design model were distributed by equal heating area, equal heat - transfer temperature difference, and free proration methods. the simulation of design has been conducted by matrix method combined with iterative method. the free proration method transformed the decision variables from t _ i and t _ ( p, j ) with complex restriction into _ i 、 _ p, jwith the value range of 0 1, and provided a simple and convenient method for optimum design
操作型模型分別以t _ 0 、 t _ k 、處理量f _ 0 、出料濃度x _ （ az ）等不同控制變量為未知變量並採用矩陣法結合迭代法進行操作模擬計算;在操作模擬計算的基礎上，建立了復雜多效蒸發系統操作優化模型，該模型以濃縮成本最小為優化目標，以t _ k和f _ 0為決策變量，採用遺傳演算法結合矩陣法求解。分享友人