genetic monitoring 中文意思是什麼
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Laboratory animal genetic monitoring : skin grafting of inbred mice and rats
實驗動物近交系小鼠大鼠皮膚移植法 -
Application of microsatellite dna polymorphisms and dna fingerprints to inbred strain mice and rats to screen the exact, dependable, particular genetic monitoring marker method of laboratory animal, the author had studied the application of microsatellite dna polymorphisms and dna fingerprints to inbred strain mice and rats, and compared the two methods with the biochemical marker enzyme method. the study had established the foundation of the molecular genetic monitoring marker method of laboratory animal
本文通過對dna指紋技術和pcr擴增微衛星dna技術在近交系大、小鼠遺傳檢測中的應用研究，並與生化位點標記分析法進行比較，旨在篩選出具有精確、可靠、特異性好的實驗動物遺傳檢測方法，為建立分子生物學實驗動物遺傳質量監測技術和標準奠定基礎。 -
Monitoring the genetic toxicity of water quality in yiai lake by micronucleus test technique of vicia fabra root - tips
利用蠶豆根尖微核技術監測遺愛湖水質遺傳毒性的研究 -
Genetic monitoring of the irm - 2 inbred strain mouse
2近交系小鼠的遺傳監測 -
Evaluation of str method for mice genetic monitoring
微量細胞毒法在近交系小鼠遺傳檢測中的應用 -
Genetic monitoring in the inbred strain of mice by microcytotoxicity test
近交系小鼠的遺傳監測 -
Genetic monitoring to wild derived tw inbreeding mouse
小鼠11個品系20個微衛星基因位點的遺傳分析 -
Studying rapd method for genetic monitoring in inbred strain mice
方法對近交系小鼠進行遺傳檢測的研究 -
Laboratory animal genetic monitoring : methods for biochemical markers of inbred mice and rats
實驗動物近交系小鼠大鼠生化標記檢測法 -
Application of single - tube bi - directional allele specific amplification in snp genetic monitoring of inbred mice
單管雙向等位基因專一性擴增方法在近交系小鼠遺傳檢測中的應用 -
In this paper, it were briefly introduced principle and structure. the application of microsatellite technique was reviewed in the study of animal, for instance, construction of genetic linkage map, molecular marker assisted breeding, evaluation of genetic diversity, genetic monitoring and so on were summarized
本文簡述了微衛星技術基本原理、優點和檢測方法以及在實驗動物科技等領域中的應用，例如遺傳連鎖圖譜、分子標記輔助育種、遺傳多樣性分析、遺傳質量檢測等。 -
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。 -
In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely
在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。 -
( 4 ) because calculation of stress intensity factors using the finite element method of the linear elastic fracture mechanics cannot satisfy the need for the real - time monitoring and the real - time analysis of cracks in concrete dams, a four - layer neural network optimized by genetic algorithm and chaos optimization algorithm is proposed. the example shows that the optimized neural network can yield good results
（ 4 ）用斷裂力學有限元計算應力強度因子不能滿足對混凝土壩裂縫實時監測、實時分析中的要求，提出了利用遺傳演算法和混沌優化演算法改進的四層神經網路的解決方法，實例分析表明，本文提出的四層優化神經網路計算的應力強度因子接近於用斷裂力學有限元計算的應力強度因子。 -
Based on predecessors " studies on steam turbine generator - set ' s state monitoring and fault diagnose, this paper focuses on the models and methods used to judge the multiple faults. these models and models, which are based on fuzzy sets theory, probability causal model, artificial neural network technology and genetic algorithms, are tested by some existing examples and some useful conclusions are drawn. all above will put the theory of multiple fault diagnosis of a large turbine generator set a further step
本文在總結和借鑒前人關于汽輪發電機組狀態監測和故障診斷的基礎上，重點研究基於模糊集理論、概率因果模型、人工神經網路技術以及遺傳演算法的多故障診斷理論和方法，並用已有的汽輪發電機組振動故障事例進行了驗證，得出了一些具有實用價值的結論，進一步豐富和推進了大型汽輪發電機組振動多故障診斷的理論，並提出了一些可靠的、實用的新方法。
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