非適應演化 的英文怎麼說

中文拼音 [fēishìyīngyǎnhuà]
非適應演化 英文
unadaptative evolution
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 適 : 形容詞1 （適合） fit; suitable; proper 2 （恰好） right; opportune 3 （舒服） comfortable; well Ⅱ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 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;...
  • 適應 : suit; adapt; get with it; fit
  • 演化 : evolution
  1. The high entropy of the real and imaginary parts of sar raw data makes lossless - coding compression techniques unfit for sar raw data. in chapter 4, some compression algorithms for sar raw data compression, such as baq, upq, bavq and wt - subbandcade are analyzed and discussed. an improved unrestricted polar quantizer ( upq ), which can enhance the performance of the quantizer is put forward

    第四章分別對塊自適應量化（ baq ）演算法、非約束式極坐標量化（ upq ）演算法、塊自適應矢量量化（ bavq ）演算法和小波變換子帶編碼演算法進行了分析和研究，並詳細討論了這些演算法在工程實際中的應用。
  2. A bgk - type euler solver on unstructured adaptive meshes

    型非結構化自適應演算法
  3. 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

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  4. The equation including the nonlinear dispersion, i. e. the modified nonlinear schrodinger ( mnls ) equation, is a better model. in this thesis, we take mnls solitons as a model for femtosecond soltions. then based on the recently developed direct perturbation theory for perturbed mnls equation, we study the raman self - frequency shift of femtosecond solitons and its suppression by the means of frequency filters. for this purpose, first, we define the physical parameters of mnls solitons ; next, through the direct perturbation theory for perturbed mnls equation, under adiabatic approximation, we obtain the evolving parameters of mnls soliton on our questions and then choose the parameters of frequency filters based on it ; at last, we directly numerically simulated our questions by split - step fourier ( ssf ) method after improving the arithmetic of the differentiation of the nonlinear item for satisfying mnls equation

    本論文以mnls孤子作為光纖飛秒孤子的模型，通過新近建立的mnls孤子直接微擾理論，研究光纖中由拉曼效應引起的飛秒孤子在傳輸中的自頻移，以及通過頻率濾波對自頻移的抑制。為此，首先給出描述mnls孤子的各物理量，然後用mnls孤子直接微擾理論，解析地得到這些問題絕熱近似下的孤子參數演化，並由此選擇頻率濾波的參數，最後用分步傅里葉方法，在對非線性項微商的演算法做出了適合於mnls孤子的改善後，對拉曼效應及頻率濾波進行了直接數值模擬，其中頻率濾波參數用微擾理論確定。
  5. Crossover is implemented using arithmetic crossover operator. then unsymmetrical mutation is conducted using the new mutation operator which can expand the scope of chromosome gene value, at the same time, the chromosome with the highest fitness values are retained for each iteration. a lot of experiments are implemented to obtain the optimized initial weighs and bias

    生成了三維矩陣表示的染色體，進行了聯賽選擇，利用算術交叉運算元進行了交叉運算，利用構造的新的變異運算元，進行了非均勻變異，同時保留了每次進化運算后最優的適應值，通過大量實驗，實現了遺傳演算法優化bp網路的初始權值和閾值的目的。
  6. In this paper, the starting parameters of the motor is estimated by kalman filtering arithmetic that is a parameter test mehod that can be considered the running state. base on the basic kalman filtering arthmetic, linearization extended kalman filtering arthmetic that is fit to the motor system that is a non - linear controled system is got

    因此本文利用卡爾曼濾波遞推演算法對電機起動時的參數進行估計，該方法是一種結合運行方式的參數測試方法，從基本的卡爾曼濾波遞推演算法出發，推得了適應電機這個非線性控制系統線性化的推廣卡爾曼濾遞推波演算法。
  7. This dissertation majorly researchs and designs full digital dc driving system with fuzzy control. it makes a scheme argumentation firstly, analyzing the pid algorithm and fuzzy control algorithm the ordinary digital pulse trigger algorithm and the double remainder method of pulse trigger in detail, and fuzzy control and the double remainder method are put forward to settle the under - mentioned problems, namely, the new viewpoint and the task having finished in this dissertation as follows : ( 1 ) in rder to overcome the influence of dc motor ' s parameter changing with time and nonlinear on the control system performance, this dissertation adopts fuzzy control as outside regulator and pi control as inside regulator in double regulators of the full digital dc motor driving system design ;. ( 2 ) aiming at the pulse trigger reliability of the ordinary d igital pulse trigger being low and leaking the pulse or the order of pulse confusion, this paper adopts the double remainder algorithm with short response time high pulse trigger reliability good adaptability and anti - jamming ; ( 3 ) this dissertation adopts tms320lf2407 which has good performance as major control chip this chip has power function with fast calculation capability, and accomplishes the software and hardware design in the dc motor driving system with fuzzy control ; ( 4 ) this dissertation also puts emphases on anti - jamming in hardware and software ; ( 5 ) after having designed the sample of full digital dc motor driving system with fuzzy control, a lot of experiments are performed to verify the performance and settles problems during experiment. the result of experiment proves the feasibility of design

    首先進行了方案論證，對模糊控制演算法和數字pid調節演算法、觸發脈沖的一般演算法和雙余演算法進行了詳細地研究分析，提出應用模糊控制和雙余法解決下述問題，即該論文主要的新見解和所完成的工作： （ 1 ）為了克服直流電機參數時變性和非線性因素對控制性能的影響，本設計中，雙閉環調速系統的外環採用模糊控制，內環採用pi控制，使系統在一定范圍內對直流電機參數變化和非線性因素影響有自適應能力； （ 2 ）針對常規數字觸發器演算法中觸發脈沖的可靠性不高，經常出現漏脈沖或是脈沖混亂的情況，本文採用雙余法，該演算法具有響應快，可靠性高，具有良好的適應性及抗干擾能力； （ 3 ）本設計中採用了速度快、功能強的tms320lf2407作為系統的主控晶元，應用該晶元完成系統的軟硬體設計： （ 4 ）本文對系統抗干擾的軟硬體措施進行了重點研究； （ 5 ）設計了具有模糊控制的全數字直流傳動系統原理樣機，並進行了試驗驗證，對試驗過程中出現的問題及時解決，最終實驗結果證明設計是可行的。
  8. The adaptation processing includes linear prediction coefficient adaptation and adaptation of quantization step size for residual signals. based on g. 726, we adopt a huffman coder to make use of probability statistic of bit cascade covering n ( n 1 ) samples generated from adpcm, in order to further reduce the bit rate. ng is lossless entropy coding, the speech quality of our improved algorithm should be same as that of g. 726 standard

    我們的研究和改進工作包括:研究最優非均勻自適應量化器，及其自適應演算法;研究波形預測函數，以及函數零點、極點的自適應演算法;基於每n （ n 1 ）個樣本所對應符號的概率統計，對預測殘差量化值再進行huffman編碼，進一步降低比特率。
  9. Quite the opposite : natural selection, the principal known mechanism of evolution, harnesses nonrandom change by preserving “ desirable ” ( adaptive ) features and eliminating “ undesirable ” ( non - adaptive ) ones

    恰恰相反，演化的主要機制天擇，會將非隨機的變化收束在一起，秘訣是保存想要的（適應的）形質，刪除不想要的（非適應的）形質。
  10. In the simulation work, one 1. 5kw and one 18kw induction motors ? control system were simulated and two simplified control scheme were proposed. when developing the program in tms320f240 dsp, this paper solved two practical problems : the finite - length effect and dc bias effect. finally, sensorless control system based on adaptive filter theory are tested on the platform of 1. 5kw induction motor, the results show that the scheme ? performance is good

    在模擬過程中，針對1 . 5kw和18kw異步電機進行了模擬，並在此基礎上提出兩種簡化控制方式；在tms320f240的具體編程過程中，分別對自適應濾波器的有限字長效應、直流偏置效應等非理想因素進行了修正和補償；最後，在1 . 5kw微型異步電機上進行了轉矩閉環無速度傳感器實驗，實驗結果表明了演算法完全可以達到預期的目標。
  11. Test results show that the igahas better adaptability and stability than the sga, no matter which type of optimization problem they handle ( continuous or discrete, linear or nonlinear, and constrained or free )

    實例表明，改進遺傳演算法（ iga ）不論是對于連續或離散的、線性或非線性的、有約束或無約束的等優化問題都表現出較強的適應性和穩定性。
  12. Compared with traditional feedforward, this paper presents an adaptive control method based on power detection minimization. with strong and fast digital signal processing ability, the adaptive system can control feedforward amplifier parameters exactly and suppress non - linear products at last by detecting changes of signals and environments

    與傳統前饋法相比，本文加入了基於最小功率檢測演算法的自適應控制電路，對輸入功率變化、溫漂和器件老化等導致系統性能下降的擾動進行自適應調整，使功放的非線性失真在很大程度上得到改善。
  13. The novel optimization algorithm, genetic algorithm popular these years, is introduced. genetic algorithm has the characteristics of multi - point searching, parallel computing and self - adaptive global optimization. so it is very suitable for the solution of complex engineering problems, which often have numerous variables, high dimension, highly nonlinear optimization objects, and the great solution spaces

    引入了近幾年興起的新型優化演算法? ?遺傳演算法，其具有多點搜索、并行計算和自適應全局尋優的特點，特別適用於求解離散型設計變量多、維數高、優化目標高度非線性、解空間十分龐大的復雜工程問題。
  14. The market process with characteristics of complex adaptive system exhibits the identities of non - linearity, trial and error, creation, path - dependence, self - organization and evolution

    作為復雜適應系統的市場過程，具有非線性、試錯、創造性、路徑依賴、自組織和演化特徵。
  15. As a typical system of mass, a cooperative multi - mobile robot system is at the core of this dissertation. path planning of the cooperative multi - mobile robot system, robust identification and robust control of each mobile robot for tracking the planned paths are studied in five chapters as follows : firstly, definition of multi - agent systems, proposal of robustness study of mass, status and existing problems in path planning of mobile robots, in nonlinear system identification and in nonlinear system robust control are discussed

    全文共分五章，主要內容如下:首先介紹了多智能體系統的定義、多智能體系統魯棒性研究的提出，以及移動機器人系統的路徑規劃、非線性系統辨識和非線性系統魯棒控制的研究現狀及存在的問題;然後針對合作式多移動機器人系統的路徑規劃，創造性地提出了合作式共同進化自適應遺傳演算法，以及移動機器人路徑的定長十進制編碼機制。
  16. According to those practical problems mentioned above, this subject mainly deals with problems as follow : 1 ) carrying out lots of theoretical experiments and systematizing some theory knowledge of the detecting system. 2 ) studying the correlativity between the referring signal and the primary signal of the adaptive filter. 3 ) studying the effects of constraining the self - dithering interference based on fixed step - size ( fss ) and variable step - size ( vss ) lms algorithms. 4 ) designing the subsystem including hardware and software, developing the software and optimizing the adaptive algorithms for constraining the self - dithering interference of the non - contact life - parameter detection system

    本課題根據實際中出現的上述問題，主要從事了以下工作： 1 、非接觸生命參數檢測系統的原理性實驗、野外實驗及部分理論知識的整理； 2 、自適應處理參考信號與原始信號相關性的研究； 3 、基於固定步長和可變步長兩類lms自適應演算法抑制非接觸生命參數檢測系統自抖動干擾效果的研究； 4 、非接觸生命參數檢測系統自抖動于擾抑制系統設計、軟體研製和演算法的優化。
  17. The earliest members of homo sapiens, or modern humans, evolved in africa between 120, 000 and 100, 000 years ago and had darkly pigmented skin adapted to the conditions of uv radiation and heat that existed near the equator

    智人（現代人）最早的成員是10 ~ 12萬年前在非洲演化出來的，他們適應赤道附近的紫外線與炎熱條件，已經演化出黑色皮膚。
  18. Genetic algorithm ( ga ) is a high - effective randomly searching algorithm, based on the nature evolution. it is a very effective algorithm to resolve np - completed combination optimization problem

    遺傳演算法是一種借鑒于生物界自然選擇和進化機制發展起來的高度并行、自適應的隨機搜索演算法，是一種非常有效的解決np完全的組合問題的方法。
  19. The application of proposed ailc to the steady state optimization of nonlinear industrial process, in which the set - point and the target trajectory vibrate frequently, is investigated to improve the transient dynamic performance

    並且針對非線性工業過程穩態優化中的設定值多次變動，目標軌線多次變動的問題，提出了一種新的自適應迭代學習演算法，以改善系統過渡過程的動態品質。
  20. In this article the principle of information theory and the characteristic of human eye ' s system have been introduced to analyze the model of self - adapting quantization, at the same time, the arithmetic to calculate bw & rbw and the simulation result have also been given

    從信息論和人眼視覺特性的角度詳細地分析了自適應非均勻量化模型，並給出了計算bw & rbw的演算法以及模擬結果。
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