逸策 的英文怎麼說

中文拼音 []
逸策 英文
issaku
  • : Ⅰ名詞(安樂;安閑) ease; leisure Ⅱ動詞1. (逃跑) escape; flee 2. (散失; 失傳) be lost 3. (超過一般) excel
  • : Ⅰ名詞1 (通「冊」 古代寫字用的竹片或木片) bamboo or wooden slips used for writing on in ancient ...
  1. Her previous contribution to iaf asian conferences as a presenter are : 2001 penang - open space technology and 2002 kuching - participatory decision making tool

    過去臻曾經帶領引導的亞洲區研討會包括: iaf亞洲研討會2001年(檳城) -開放空間科技; 2002 (古晉) -參與性決工具。
  2. Lead him, i pray, not in the path of ease and comfort, but under the stress and spur of difficulties and challenge

    我祈求你,不要引導他走上安舒適的道路,而要讓他遭受困難與挑戰的磨練和勵。
  3. Countermeasures against hit and run traffic accidents

    道路交通肇事逃事故對
  4. The reasons and countermeasures of traffic trouble escaping cases

    交通肇事逃案件發生的原因及遏制對
  5. On legal characteristics and countermeasures of hit - and - run in traffic accidents

    試論交通肇事逃案的法律特徵及偵防對
  6. In the solution, the 0 - 1 integer and real number mixed encoding technique was employed to describe an artificial fish ; behaviors of a fish were dispatched by its body energy status ; the following behavior was described by the greedy method where moving step is direct ratio to a fish ' s hungry degree ; the lowest survival body energy controlling technique was used to realize escaping policy from locally optimum positions ; the maximum iterating times and the changing degree of the optimum solutions during iterating were used to control the terminating time

    在解算過程中,人工魚個體採用0 - 1整數和實數混合編碼方法描述;用人工魚體能累計和消耗程度來調度其行為;採用與饑餓程度成正比的移動步距的貪婪法描述個體追尾行為;採用最低生存體能控制來實現局部最優解逃逸策略;採用最大迭代次數和迭代過程中最優解平均值變化程度來控制迭代終止時機。
  7. The quasi - physical method makes the original problem an optimization problem in mathematics. there is often the possibility of going to a local minimum of object function when we solve the optimization problem mathematically. as for how to jump out of the trap of local minimum so that the calculation can head for a region with better prospects, the quasi - physical method is helpless

    擬物方法將原始問題落實為優化問題,而用數學方法在求解優化問題時,常常會碰到計算落入目標函數的局部極小值陷階的困境,如何從這種困境中逃出來,使得計算奔向前景更好的區域,擬物方法則無能為力,而應用擬人方法則可以設計出好的「跳出陷阱」略。
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