演進性優生學 的英文怎麼說
中文拼音 [yǎnjìnxìngyōushēngxué]
演進性優生學
英文
progression eugenics- 演 : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
- 進 : 進構詞成分。
- 性 : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
- 生 : Ⅰ動詞1 (生育; 生殖) give birth to; bear 2 (出生) be born 3 (生長) grow 4 (生存; 活) live;...
- 學 : Ⅰ動詞1 (學習) study; learn 2 (模仿) imitate; mimic Ⅱ名詞1 (學問) learning; knowledge 2 (學...
- 演進 : gradual progress; evolution
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In order to understand how darwin builds a long argument to persuade readers to believe his evolutionary theory is better than creationism and lamarck ' s transmutation theory, one needs to know the emergence of this revolutionarily scientific theory is not only related to geology, paleontology, comparative anatomy, morphology, and embryology but also connected with his contemporary background of religion as well as economy
這門課擬從科學史的觀點,來帶學生閱讀與討論達爾文《物種源始》這本科學文本,了解此一個革命性的科學理論的生成,不但涉及地質學、古生物學、比較解剖學、形態學、胚胎學等自然學科,也關連到宗教、經濟等人文與社會面的諸多背景,進而認識達爾文如何在此書中建構論證與說服讀者相信他的演化論優于當時與其競爭的神創說和拉瑪克的理論。Based on consider hereinbefore, this dissertation discusses several aspects on the problem of the sustainable and optimum exploitation of groundwater resources as follows : ( 1 ) reviewed entirely the origin and evolvement of the concept " sustainable development ", stated and commented the study status in queue on " sustainable development " around national and international range, thorough discussed the science connotation about the concept " sustainable development " ; ( 2 ) looked back and commented across - the aboard some furthest basic concept and proposition related to groundwater resources, put forward self opinions on a few existent mistake points of view and chaos understandings ; ( 3 ) expatiated entirely on the content and meaning of the theory of changeable groundwater resources system, contrast with the traditional methods of groundwater resources calculation and evaluation, combined example to show the application of this theory ; ( 4 ) thorough analyzed the difficult and complexity to forecast the groundwater resources, fully stated the traditional methods of groundwater resources forecasting, pointed out the characteristic and applying condition of these forecasting method, introduced the main ideas and methods of wavelet analysis developed recently, and the matlab software be known as the fifths era computer language, and its accessory wavelet analysis toolbox, applied these methods and tools to analyze the groundwater dynamic curve, adopted the b - j method and morte - carlo method, combined with the theory of changeable groundwater resources system, discussed the new view on the forecast of groundwater resources ; ( 5 ) synthetically analyzed the characteristics and limitations of the present all kind of groundwater manage model, combined mathematical programming mathematical statistics random process and the theory of variation system of groundwater resources on the unite optimum attempter of surface water and groundwater, emphasized how to make the model more nicety, more simple, more practicality ; ( 6 ) analyzed the inside condition and outside condition to assure the sustainable and optimum exploi tation of groundwater resources, the inside conditions are the follows : correct resources idea, scientific methods of resources calculation and evaluation, credible forecast methods of resources, exercisable measures of resources management, the outside conditions are the follows : the development idea of high layer, the transform of manage system, the matched policy and rule of law, the adjusted of economy lever, the improve of cultural diathesis, the boosting up of water - saving consciousness and detail measures, the control of population rising, the prevention and cure of water pollute, the renew and rebuild of ecology ; ( 7 ) scan the sustainable and optimum exploitation of groundwater resources from the high level of metagalaxy, earth system science, and philosophy ; lint out the more directions on groundwater resources
基於以上考慮,論文主要從以下幾方面對地下水資源可持續開發問題進行了比較深入的探討:全面回顧了「可持續發展」概念的由來與演變,對國內外「可持續發展」的研究現狀進行了述評,並對「可持續發展」概念的科學內涵進行了深入探討;對涉及地下水資源的一些最基本的概念和命題進行了全面的回顧和評述,對目前仍然存在的一些錯誤觀點和混亂認識提出了自己的見解;全面闡述了地下水資源變值系統理論的內容和意義,並與傳統的地下水資源計算評價方法進行了對比分析,結合實例具體說明了方法的應用;深入分析了地下水資源預測預報工作的極端重要性和復雜性,對傳統的地下水資源動態預測方法進行了全面的評述,指出了各類預測預報方法的特點及適用條件,對最近二十多年剛發展起來的小波分析技術的主要思想和方法及其應用范圍,以及號稱第五代計算機語言的matlab軟體和附帶的小波分析工具箱進行了介紹,並應用於地下水動態過程線的分析,採用時間序列中的b ? j法,蒙特卡羅方法,與地下水資源變值系統理論相結合,探討了地下水動態資料分析和地下水資源預測預報的新思路;綜合分析了現今各類地下水管理模型的特點及缺陷,將數學規劃、數理統計、隨機過程等與地下水變值系統理論相結合進行地表水地下水或多水源的聯合優化調度,使模型更準確、更實用;對保證地下水資源可持續開發的內部條件和外部條件進行了分析,內部河海人學博卜學位論文前言、摘要、目錄條件主要是正確的資源觀,科學的資源計算與評價方法,可靠的資源預測預報技術,可操作的資源管理措施,外部條件主要是高層發展思路、管理體制的變革、配套的政策法規、經濟杠桿的調節、人文素質的提高、節水意識的增強及具體節水措施、人口增長的控制、水體污染的防治、生態的恢復和重建等;從宇宙科學、地球系統科學及哲學的高度審視地下水資源的可持續開發;指出了地下水資源可持續開發的進一步研究方向。According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain
根據《隨機水文學》理論中的時間序列分析法,建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型;通過分析降雨隨機特性,選定季節性時序隨機模型,建立了適合三江平原井灌水稻降雨預報的月平均降雨模型;根據最小二乘法,計算出幾種常用水分生產函數中的敏感指數及敏感系數,進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律;本文提出遺傳動態規劃法( raga ? dp ) ,即採用改進的基於實數編碼的加速遺傳演算法( realcodingbasedacceleratinggeneticalgorithm ,簡稱raga )與動態規劃法( dpsa )相結合,推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。Directed by the advance theories of sequence stratigraphy, reservoir beds sedimentology, seismic stratigraphy and petro - geology, measured by exactitude seismic procession, analysis of seismic facies, analysis of single well lithfacies and sedimentary facies, study of macro and micro character of reservoir and diagenesis, this paper study comprehensively the stratigraphy sequence, the type and distributiong of sedimentary facies, reservoir properties, the diagenesis and the evolution of pores of the 2nd and 3rd parts of pingdiquan formation of permian in wucaiwan - shishugou region in jungan basin. we can optimum seek favourable target area and apply the study results on oil field production in order to solve the difficult questions. we mainly achieve several views as follows : l ) establish the sedimential sequence framework of permian formation in studying area and delimint the jiangjunmiao formation of middle dyas series as lowstand system tract, the lower of the second part to the third part of pingdiquan formation of middle dyas series as transgressive system tract, the upper of the second part to the first part of pingdiquan formation as highstand system tract
以層序地層學、儲層沉積學、地震地層學、石油地質學的先進理論為指導,以地震資料精細目標處理、地震相分析、單井巖相分析、沉積相分析、宏觀和微觀儲層特徵分析及成巖作用研究為手段,對準噶爾盆地東部五彩灣? ?石樹溝地區二疊系平地泉組二、三段的地層層序、沉積相類型及展布、儲層物性特徵、成巖作用及孔隙演化進行綜合研究,優選出有利勘探區帶,並將研究結果應用到生產中,解決生產中的難題,主要取得了以下幾點認識:建立了工區內二疊系沉積層序框架,把中二疊統將軍廟組地層劃為低水位體系域,中二疊統平地泉組二段下部三段地層為水進體系域,二段上部一段地層為高水位體系域。Based on these graphic models an efficient routing algorithm, called ieacs ( intensified evolutionary ant colony system ) algorithm is suggested. ieacs merges the acs ( ant colony system ) and ga ( genetic algorithm ), thus features both the mechanism of cooperative learning of acs and the information - exchange capability of ga, is presented in this thesis. in case of asymmetric grid graph and grid - off graph
然後,介紹了一種兼具生物仿生特性的蟻群和遺傳演算法特點的進化蟻群演算法,並對該演算法模仿蟻群的協同學習機制,以及遺傳演算法的優秀群體中的個體之間信息交換的策略進行了闡述,接著探討了該演算法在總體布線和斯坦納樹問題中的應用。Also, the author ’ s design strategy and creativity has been given in this paper. specifically, it includes : based on the feasibility analysis of the fit selection of control parameters in the aeration process, the aeration process of wastewater treatment of the joint - constructional complete - mixed activated sludge process has been aimed at in this paper. then, the state equations of the aeration process have been proposed in this paper, which is on the base of dissolved oxygen concentration ( do ) and discharge quantity of sludge ( qw ) as control variables, the concentration of bod and sludge as state variables. based on the present study on optimization control of wastewater treatment, the multivariable optimal control model with restriction factor has been presented in the paper with introducing modern control theory and system analysis into the field of activated sludge wastewater treatment,
具體包括:以完全混合、表面曝氣合建式活性污泥工藝的污水處理曝氣過程為研究對象,在闡述了曝氣過程式控制制參數選取可行性的基礎上,建立了以溶解氧濃度do和活性污泥排放量qw為控制變量,以曝氣池中有機物濃度s和微生物濃度x為狀態變量的活性污泥曝氣過程的基本狀態方程;運用現代控制理論的觀點和污水處理理論,在現有關于污水處理最優控制問題研究的基礎上,建立了有約束條件多變量能耗最小數學模型,該數學模型是以有機物排放總量和狀態變量的末值條件作為約束條件,曝氣過程的能耗最小作為目標泛函;採用增廣拉格朗日乘子法對最優控制問題進行轉化,並對應用極大值原理求解能耗最小這一最優控制問題進行了詳細的解析;引入約束運算元,應用具有控制約束的共軛梯度演算法對能耗最小這一最優控制問題進行求解,並進行模擬實驗驗證。The systematic and synthetic description and review of lianas, chiefly in tropic, are described and reviewed in this paper, in which some ecological questions of lianas are included distributed as follows : ( 1 ) the conception and significances of lianas ; ( 2 ) liana flora and its distribution in the world ; ( 3 ) its biological characteristics ; ( 4 ) its ecological characteristics ; ( 5 ) its abundance ( density ) and species - richness in tropical forest ; ( 6 ) the ecological significance of lianas - aggregation in gap and the variance of its abundance in the process of forest succession ; ( 7 ) the relationship between lianas and trees ; ( 8 ) the positive and the negative contribution of lianas to tropical forest ; ( 9 ) the types of climbing mechanism of lianas and its competitive predominance ; ( 10 ) global climate - variance ( co2 increase ) promotes abundance of lianas to increase, and some ecological consequence are resulted from which
摘要對藤本植物(以熱帶為主)研究的動態與發展進行了綜述,其中包括: ( 1 )藤本植物的概念及重要性; ( 2 )藤本植物區系和分佈; ( 3 )藤本植物的生物學特性; ( 4 )藤本植物的生態學特性; ( 5 )藤本在森林中的多度(密度)及種的豐富度; ( 6 )藤本在空地上聚生的生態意義以及它們在森林演進過程中的消長; ( 7 )藤本與樹木的相互關系; ( 8 )藤本對森林正面和負面的影響; ( 9 )藤本的攀援方式類別及其競爭優勢; ( 10 )全球氣候變化( co2濃度增高)促進藤本優勢度增長並導致不良的生態後果。Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line
提出了流程工業生產過程操作優化策略和應用實施方法,包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略;結合揚州有機化工廠計算機集成製造系統集散控制系統( yh - cims dcs )的實施,針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題,採用統計建模方法,建立了聚合反應過程的優化模型;為求解所得的優化模型,提出了種改進的有約束條件下的模擬退火演算法,該演算法能避免陷於局部最優解,有效地提高了所求解的全局性和可靠性:提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法,建立了基於神經網路的聚合反應過程生產目標在線預測模型,該演算法和模型滿足了生產中的實時性和實用性要求。The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper
分析和探討了量子計算的特點及免疫進化機制,並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理,提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體,通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解,它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂,而且通過模擬實驗表明了該演算法的優越性Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper
文摘:分析和探討了量子計算的特點及免疫進化機制,並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理,提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體,通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解,它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂,而且通過模擬實驗表明了該演算法的優越性Recently the study on biology shows that the immune action can prevent the premature and raise the optimizing speed effectively - thus the immune principle can give important edification on how to enhance the performance of ga ' s
近年來在生物學領域的研究發現免疫行為能夠很好地防止早熟現象,有效地提高尋優速度? ?因而免疫原理對改進和提高遺傳演算法的性能具有重要的啟迪作用。By comparing the numerical results of water infiltration with air and without air, it is shown that the method in this paper is more effective for solving problems of water infiltration in unsaturated soil. in this paper the forming process of oil - bearing basin is the main research object and the mathematic model of geology is built, in order to simulate the dynamic forming process of stratums especially oil - bearing stratum in geology history in the time and space concept, further to investigate the history of petroleum forming, transmitting, accumulating and predict the distributing rule and scope of petroleum, and offer an rapid, quantitative, exact, general choice for the researcher of petroleum geology. with denudation, poor - compactness and sedimentation hiatus, the stratum relations of sedimentation section is judged, and the ancient thickness and pressure of stratum layer are recovered by the inversion method of back stripping. the numerical simulation algorithm of recovery of geological history is also given
為了利用現代化的計算技術再現含油氣盆地的地史演化發育過程,以便進一步定量化研究油氣的生成、運移和聚集的歷史以及預測油氣分佈規律、分佈范圍,為石油地質學家提供一個快速、準確、定量、綜合的研究手段,本文就含油氣盆地的地史演化發育過程為主要研究對象,建立了數學地質模型,運用優化理論與演算法,在考慮了剝蝕、欠壓實、沉積間斷等地質現象的情況下,採用回剝反演法,應用鉆井、測井、地震等方法獲得的地層物性資料,判別沉積剖面中地層的接觸關系,恢復地層的古厚度、古壓力,構造了地史恢復的數值模擬方法。The dissertation explains the ideas and characters of generalized genetic algorithm. the evolution method that the directional evolution is combined with the directional transfer of local optimal status to reach the global optimization rapidly is explicated from three aspects : syllogism, mathematic deduction and biologic evolution
文中詳細介紹了廣義遺傳演算法的思想和特點,闡明了廣義遺傳演算法採用定向演化和局部最優狀態定向轉移相結合從而快速達到全局最優的尋優模式,從演繹邏輯、數學推理和生物進化三個方面證明了演算法的合理性。On the other hand, we accomplished the asic design flow successfully based on the fpga design. we have made the most use of various optimization methodology and simulation tools include dynamic simulation, static timing analyzing and post simulation. at last this design net list was past to layout design team in order to check its electronic characters
在我們的asic流程中,首要的因素是在fpga驗證其正確性的基礎上對速度與面積進行科學有效的平衡,在成本和性能中間取得良好的結合點,運用先進的eda設計工具和演算法對設計進行綜合優化( synthesis ) ,動態時序分析( dynamicsimulation ) ,靜態時序模擬( sta )到自動布局布線( apr )之後將寄生參數反標回前面的步驟進行更精確的判斷和分析,最後交給版圖設計人員進行版圖設計和優化。Genetic algorithm solves problem by learning from nature and referring to evolution mechanism of creature, which has wide usage, high stability and concise, and global optimization
遺傳演算法通過向自然學習,借鑒生物進化機制求解問題,具有廣泛的可應用性和高度穩健性、簡明性和全局優化性。This paper aims to combine advantages of pid control and neuron, propose the neuron pid controller which is derived from an incomplete derivative pid algorithm and based on six learning rules in common use, viz. no surpervized hebbian learning rule, perceptron learning rule, supervized learning rule, improved hebbian learing rule, delta learning rule and capability index which is based on second type, and these rules come into being six control arithmatic. then simulate in object with lag
本論文主要將兩者的優點結合,提出了神經元實現不完全微分pid ,並採用神經網路常用的六種學習規則,即無監督hebb學習規則、感知器的學習規則、有監督的hebb學習規則、改進的hebb學習規則、 delta學習規則和基於二次型性能指標的學習規則,形成六種控制演算法,以工業生產過程中常見的二階純滯后對象為例進行模擬。By means of the proposed reinforcement learning algorithm and modified genetic algorithm, neural network controller whose weights are optimized could generate time series small perturbation signals to convert chaotic oscillations of chaotic systems into desired regular ones. the computer simulations on controlling henon map and logistic chaotic system have demonstrated the capacity of the presented strategy by suppressing lower periodic orbits such as period - 1 and period - 2. meanwhile, the periodic control methodology is utilized, the higher periods such as period - 4 can also be successfully directed to expected periodic orbits
該控制方法無需了解系統的動態特性和精確的數學模型,也不需監督學習所要求的訓練數據,通過增強學習訓練方式,採用改進遺傳演算法優化神經網路權系數,使之成為混沌控制器,便可產生控制混沌系統的時間序列小擾動信號,模擬實驗結果表明它不僅能有效鎮定混沌周期1 、 2等低周期軌道,而且在周期控制技術基礎上,也可成功將高周期混沌軌道(如周期4軌道)變成期望周期行為。Based on the analysis of the learning theory and instructionual design, we understand the procedure and regulation of learning, recognizing how to improve the learning environments and instructional procedure, so our its could implement on a better pedagogy theory ; presented in xml, the subject knowledge could be more suitable to be manipulated by computer tutor, to develop an individual learning environments. auto - generating paper is a constrained multi - object optimization problem, this paper presents a way based on genetic algorithm ( ga ) to solve the problem, and discuss how to choose an individual coding to improve the efficiency of ga according the problem ; when establishing the student model, we consider the mental factor as well as the cognitive factor
基於對學習理論和教學設計的分析、總結,了解了人類學習活動的過程和內在規律,以及如何優化學習環境和教學過程,從而使智能教學系統建立在先進的教育理論基礎上;基於xml技術的學科知識表示,使它更便於計算機導師進行加工,形成個性化的學習環境;自動組卷是一個帶約束的多目標優化問題,本文提出通過遺傳演算法來解決,並分析了如何根據實際問題選擇個性化的編碼方案,提高遺傳演算法的效率;在建立學生模型時,除了考廣西大學碩士論文基於web的智能教學系統的研究慮認知因素還考慮了心理因素。Control systems in modern automatic engineering are nonlinear, time - changed and indefinite. lt is difficult to model by traditional method, even sometime impossible. under these circumstances we should apply model identification to gain the approximate model of object for effective control, there are many models to be chosen, fuzzy model is one of them, it is put forward with the development of fuzzy control. fuzzy model has characteristics of general approximation and strong nonlinear, it is fit for describing complex, nonlinear systems. to avoid rules expansion when the number of input values are very big. in this paper we apply hierarchical fuzzy model to resolve this problem, we also illustrate it has general approximation to any nonlinear systems. genetic algorithm is a algorithm to help find the best parameters of process. lt has abilities of global optimizing and implicit parallel, it can be generally used for all applications. in our paper we use fuzzy model as predictive model and apply ga to identify fuzzy model ( including hierarchical fuzzy model ), we made experiments to nonlinear predictive systems and got very good results. the paper contains chapters as below : chapter 1 preface
現代控制工程中的系統多表現為非線性、時變和不確定性,採用傳統的建模方法比較困難,或者根本無法實現,在這種情況下,要實現有效的控制,必須採用模型辨識的方法來獲取對象的近似模型,並加以控制,目前用於系統辨識的模型種類很多,模糊模型是其中的一種,它隨著模糊控制的發展而被人提出,模糊模型具有萬能逼近和強非線性的特點,比較適合於描述復雜非線性系統,為了解決模糊模型在輸入變量較多時規則數膨脹的問題,文中引入遞階型模糊模型,並引證這種結構的通用逼近特性。遺傳演算法是模擬自然界生物進化「優勝劣汰」原理的一種參數尋優演算法,它具有隱含并行性和全局最優化的能力,並且對尋優對象的要求比較低,在工程應用和科學研究中,得到了廣泛的應用,本文將遺傳演算法引入模糊模型的辨識,取得了很好的效果。The mechanical system using to the new technology, engineers can build system model in computer, and simulate the characteristic of kinematics and dynamics of mechanical system on realistic condition, by the valid numeric algorithm, well - round three dimension visualization technology and standard gui technology. according to the analysis results, engineers can improve or optimize mechanical systems ? designing projects and its running process. the mechanical system virtual prototyping technology can help enterprises to reduce the trial - manufacture times of physical prototyping, so that can shorten periods of designing and producing, consequently reduce the costs and improve the quality of products
藉助于這項技術,工程師們可以在計算機上建立機械繫統的模型,伴之以有效的數值演算法、成熟的三維可視化技術以及標準的圖形用戶界面,模擬在現實環境下機械繫統的運動學和動力學特性,並根據模擬結果改進或優化機械繫統的設計方案與工作過程,幫助企業最大限度地減少物理樣機的試制次數,從而縮短設計和生產周期,降低成本,提高產品質量。分享友人