genetic series 中文意思是什麼
genetic series
解釋
成因系列-
Each of these color layers has its own genetic code which is determined by series of genes which combined eventually determine the color of the betta
每一顏色層都有自己的基因碼，這些基因碼受一連串的基因影響，最後決定了斗魚的顏色。 -
In order to develop genetic engineered vaccines which are safe, convenient for use for different avian diseases, we designed a series of experiments to reach the goal
雞馬立克氏病、新城疫、禽流感是嚴重威脅我國養禽業發展的三種主要傳染病。 -
In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible
在rsdm中，以實值模式代替二值模式，避免了實值到二值的編碼過程：以回歸學習規則代替外積法，使該模型在具有識別能力的同時具有了對函數的逼近能力；地址矩陣的預置根據樣本的分佈採取不同方法，若樣本均勻分佈，則隨機預置，否則利用遺傳演算法的原理和消減措施來預置地址矩陣，使之反映樣本的分佈，改善網路的性能。 -
Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given
本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。 -
Based on optimization theories of genetic algorithms and the linear programming, a series of optimal design mathematics models and methods of water transmission conduits and water distribution networks have been presented, in the light of their characteristics. the results are as follows : 1 the linear programming models and calculations of the pressure gravity conduit, the gravity pressure conduit and channel, the pressure conduit with pump station and the pressure conduit in considering pump station flow variations are presented respectively
本文針對不同類型的輸水管線和配水管網系統的特點，應用遺傳演算法和線性規劃等優化設計理論和方法，對其優化設計問題進行了較為系統的研究，成果如下： 1分別建立了重力輸水管道系統、重力輸水管渠系統、泵站加壓輸水管道系統以及考慮流量變化的泵站加壓輸水管道系統優化設計的線性規劃數學模型，並提出了計算方法。 -
Ln our experiment, a lot of regulator sequences inc1uding the 35s promoter with double enhancer e1ements and the terminator nos, the fl sequence and kozak sequence for improving the genetic statement in the level of translation, were appended on the two s ides of the artifically pseudopleuronectes americanus antifreeze protei n gene by a series of process, and the products were linked into pbil21
本實驗中人工合成了美洲擬鰈抗凍蛋白基因，並在美洲擬鰈抗凍蛋白基因兩側添加了許多調控序列，如具有加倍增強子的35s啟動子和nos終止子，它們可以促進抗凍蛋白基因的轉錄，及可在翻譯水平上提高基因表達的序列和kozak序列，從而構建了抗凍蛋白基因的高效表達盒。 -
To ensure all segments under construction to approach corresponding construction segmental reasonable states in both configuration and mechanics states and good behavior of structure after completion, escaping from all kinds of accidents in whole process of construction with high efficiency, safety, excellent quality of engineering achieved, the grey prediction model ngm ( 1, 1 ) was proposed to fit prediction of any raw grey series by studying grey causes and whitening results based on the normalized mapping rules ; random perturbation method of genetic algorithms was proposed to raise efficiency of forward rolling optimization ; simultaneous analysis of strength and stability was carried out to ensure safety of strength and stability
摘要為了保證實際施工中結構各節段在構形和受力狀態兩方面逼近施工節段合理狀態，避免事故發生，確保工程高效、安全、優質，基於歸一化映射規則，研究灰因和白果，提出了適應任意灰序列的灰預測模型ngm （ 1 ， 1 ） ；研究遺傳演算法的隨機攝動法，提高向前滾動優化效率；研究強度、穩定性的同步分析技術，保證施工過程強度、穩定性安全。 -
A series of validation experiments and genetic studies should be performed for the y - str multiplex system according to the suggestion of the technical work group dna analysis methods ( twgdam ). method we selected four y - str loci, dys434, dys438, dys439, a10 ( y - gata - a10 ) and designed two set of tailed primers to improve the efficiency of the multiplex pcr
方法選定四個y染色體str基因座，應用加尾序列引物設計策略設計的引物，構建四個基因座的y - str復合擴增體系，建立銀染檢測和熒光檢測方法，依據dna分析技術工作組（ twgdam ）指南進行法醫學可行性研究和群體遺傳研究。 -
The key problem in apln - pddss is decision - making model, this thesis established a private logistics network model for armed police named apln, then established a series of decision - making models based on apln, include a route optimization model, a transportation problem model and a process monitor model, and implement a genetic algorithm for large scale transportation problem
對于apln - pddss ，本文重點深入研究了系統的決策模型及其求解演算法，建立了武警物流網路模型，並建立了基於物流網路模型的運輸路徑優化模型、運輸問題模型、運輸任務控制模型等決策模型，研究並實現了一種針對大規模運輸問題的遺傳演算法。 -
Genetic algorithm based on the conception of biological evolution designs a series of process to optimize the solution. these processes include gene combination 、 crossover 、 variation 、 natural selection. in these procedures, eliminate the bad gene through the principle of “ survival of the fittest ” and develop the solution to better direction
遺傳演算法是基於生物進化的概念設計了一系列過程來達到優化的目的。這些過程包括:基因組合、交叉、變異、自然選擇。在這些過程中，通過「優勝劣汰」的原則來淘汰掉解較差的基因，使得解朝著好的方向發展。 -
A series of computing indexes were applied to obtain genetic distance matrixes. nj tree
生y拔1500葉000m的濕潤山坡或林下。 -
At the same time, the recognition of parallel activities and series activities and coupling activities in the software process can be solved by graph theory knowledge ; the evaluation of the staff ' s capacity can be solved by fuzzy synthetic evaluation theory. these techniques make foundation for putting forward detail genetic algorithm
另外，本文採用圖論的方法來解決軟體過程中串列、并行以及交叉耦合活動的判定與規劃問題；提出模糊綜合評價方法對人員（人力資源）的能力進行評估，為遺傳演算法的應用打下了基礎，提高了演算法的準確性。 -
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。 -
For instance, advance in telecommunication, nano - technology, genetic engineering and biotechnology, and the issue of sustainable environment in the past few decades are just a few notable examples. the development of science and technology not only furnishes us with opportunities to get a deeper understanding and introspect of the universe, but more importantly, it brings unprecedented changes to our daily lives. to celebrate the 15th anniversaries of the hong kong science museum and the hong kong university of science and technology, the two institutions jointly organize a leading scholars lecture series
現今的科技發展一躍千里，而部份科學技術在過去十多年更有非常顯著的躍進，例如通訊科技納米技術基因遺傳和生物技術以及環境保護等。這些科技發展不但提高我們對這個宇宙的認識和反思，更重要的是它們為我們的生活帶來了重大的變化。適逢今年香港科學館和香港科技大學均慶祝成立十五周年這大日子，因此，兩間機構特別聯合主辦了一系列講座，並邀請了多位出色的科學家分享他們在這15年裡的科研成果，以及這些技術的未來發展對我們生活的影響。 -
Deterioration series of populations were analyzed by the means of allozyme and rapd. the results showed that as the deterioration of grassland became heavier, genetic diversity would drop, but there was no distinct linear correlation between genetic diversity and deterioration degree
等位酶和rapd標記分析退化系列種群，其遺傳多樣性隨退化程度加重有降低的趨勢，但與退化程度無明顯的線性相關。 -
Abstract : a problem resolution can be represented by a series of chromosomes in genetic algorithm ( ga ). in the evolving process of reproduction, crossoves and mutation to chromosomes, a chromosome which is fitter to the enviroment can be obtained as the resolution of the problem. the membership functions and control rules are optimized by using ga, the design and adjustment of fuzzy controller are also improved
文摘:遺傳演算法是將問題的求解用染色體的形式表示，在其復制、交叉、變異的進化過程中收斂為一個最適應環境的染色體，即為問題的解.用遺傳演算法對模糊控制中的隸屬度函數進行編碼，確定適應度函數，作遺傳運算與微量調整，可實現對隸屬度函數及控制規則的優化，改善模糊控制器的性能 -
The series - parallel identification structure is adopted to reflect characteristics of the control object well and truly. furthermore, the improved bp ( back propagation ) algorithm and floating - point genetic algorithm ( ga ) are respectively employed to learn the weights of nn positive model
模擬對象仍為藥劑溫控系統，模型辨識結構採用串並聯形式，並分別使用改進bp演算法和浮點式遺傳演算法進行了神經網路正模型權系數的學習。
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