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算法工具的英文

  • algorithmic tool

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  • 例句與用法
  • An illustrative example was given and resolved by genetic algorithm toolbox in matlab
    最后給出一個算例并應用matlab遺傳算法工具包求出了模型的最優(yōu)解。
  • Programmer use matlab gaot toolbox , it lets design focus on optimization problem itself but not compile programmer
    程序設計采用matlab的遺傳算法工具箱,使設計更多集中在優(yōu)化問題的本身,而不是過多地糾纏在具體的算法實現上。
  • Since speed is often a concern for genetic algorithm implementations , and thus they must be heavily optimized in most cases , there are few viable general - purpose genetic algorithm toolkits in any language
    因為速度常常是遺傳算法實現的一個問題,因此在大多數情況下必須對算法進行大量優(yōu)化,幾乎沒有以各種編程語言實現的可行的通用遺傳算法工具箱。
  • The study shows that ga toolbox is convenient to be used and the optimal results can be got according to different optimization indexes and different calculation precisions , thus , the global search function of genetic algorithm ( ga ) is exhibited sufficiently
    研究表明,遺傳算法工具箱使用簡單方便,且能根據不同的優(yōu)化指標、計算精度尋找出最佳結果,充分體現了遺傳算法的全局搜索性能。
  • Control demand is completed . at last , after the fundamental use means of genetic algorithm tool kit below the matlab is introduced , using it has a simulation study on the coal boiler inflammation system , and gives several simulation curves , passes compare , and gains conclusion
    最后在簡單介紹了matlab下的遺傳算法工具箱的基本使用方法后,用matlab下的遺傳算法工具箱對燃煤鍋爐燃燒系統(tǒng)進行了計算機仿真研究,給出了幾組仿真曲線,通過比較,得出結論。
  • 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(tǒng)的最優(yōu)控制規(guī)律的研究,本文以某型燃煤鍋爐的燃燒系統(tǒng)作為研究對象,分別對其蒸汽壓力回路和經濟燃燒回路進行系統(tǒng)分析,得到了相應的控制方案,設計了一種基于遺傳算法的模糊- pi復合控制器對該系統(tǒng)進行控制,并用matlab下的遺傳算法工具箱進行了系統(tǒng)仿真研究。
  • Considering there exists such problems with traditional optimization method that solving process is complicated and only local optimum solution is acquired , genetic algorithm and direct search toolbox of matlab software is adopted to solve the optimization model and optimization process is simplified and global optimum solution is found
    由于傳統(tǒng)的優(yōu)化方法存在著求解過程復雜和尋優(yōu)過程容易陷入局部最優(yōu)解的問題,故應用matlab遺傳算法工具箱尋求問題最優(yōu)解,使求解過程得到簡化,能可靠地獲得全局最優(yōu)解。
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