盲目搜索 的英文怎麼說

中文拼音 [mángmùsōusuǒ]
盲目搜索 英文
blind search
  • 盲 : 形容詞（看不見東西; 瞎） blind
  • 目 : Ⅰ名詞1 （眼睛） eye 2 （大項中再分的小項） item 3 [生物學] （把同一綱的生物按彼此相似的特徵分為幾...
  • 搜 : 動詞1. （尋找） collect; gather2. （搜查） search; ransack
  • 索 : Ⅰ名詞1 （大繩子; 大鏈子） a large rope 2 （姓氏） a surname Ⅱ動詞1 （搜尋; 尋找） search 2 （要; ...
  • 盲目 : blind
  • 搜索 : 1 （仔細尋找） search for; ferret about; hunt for; scout around 2 [電子學] hunting; scan; [控] in...
  1. ( 2 ) bayesian network methods can avoid subjective prejudice brought by apriority information, sightless search when we lack sample information, and the infection of interferential factors

    （ 2 ） bayesian網路中的理論方法既可避免只使用先驗信息可能帶來的主觀偏見，和缺乏樣本信息時的大量盲目搜索，也可避免只使用后驗信息帶來的干擾因素的影響。
  2. This paper explores the internal laws between such port production elements as the harbor tugs " disposition, the port " s production throughput and the number and time of the arrived ships ; under the framework of " the development project of qingdao harbor in five years " by qingdao government ; through collecting large amounts of statistic data ; under the premise of scientific induction, arrangement and calculation to all of the port " s production elements which affect the regular harbor tugs " disposition, especially under the premise of much statistic analysis to the arrived ships ; on the basis of the overall analysis to the qingdao harbor " s production from 1999 to 2000 ; through the analysis to the present disposition scale of the harbor tugs and the port " s production and management. additionally it predicts the change of the port " s production elements according to the total object of the port " s development in order to work out a relatively scientific calculation method for disposing the harbor tugs scientifically as well as decreasing blindness in disposing the harbor tugs, and also make the disposition scale of the harbor tugs scientific and reasonable with each passing day so as to answer the demands of the port " s production and management along with it " s development

    本文是在青島市政府關于《青島港未來五年發展規劃》的框架下，通過搜集大量的統計資料，在對青島港1999年至2000年生產全面分析的基礎上，對影響港作拖輪規模配置的港口生產各要素進行科學的歸納、整理、計算，特別是在對到港船舶的大量統計分析的前提下，通過對目前港作拖輪的配置規模與港口生產經營情況的分析，探索港作拖輪的配置與港口生產的吞吐量、到港船舶艘次數等港口生產要素間內在的規律，並根據港口發展規劃的總體目標預測未來港口生產各要素的變化情況，以期能為各港口科學合理地配置港作拖輪、減少配置港作拖輪中的盲目性提出較為科學的計算方法，使港作拖輪的配置規模日趨科學、合理，滿足港口生產經營及未來發展的需要。
  3. The arithmetic was much more efficient than blindfold searching ; in addition, its practicability and replantation were better than special arithmetic for given object

    比盲目的搜索效率要高，也比專門的針對特定問題的演算法通用性強。
  4. Simulated annealing algorithm is a kind of heuristic monte carlo method. in the course of solve the optimum problem, it conquer the blindfold searching mechanism of normal monte carlo method, and based on a appointed theory to guides search, so it can ensure a successful search

    模擬退火方法是一種啟發式蒙特卡羅法，在解決優化的問題中，它克服了常規蒙特卡羅方法盲目的隨機搜索機制，而是在一定的理論指導下搜索，故能保證搜索成功。
  5. The self - tuning algorithm of the parameter adopts eigenvalue of the systemic error and derivative error and so on. thus this method can overcome the disadvantage of the previous method which make the calibrating date not match up to the moveable track of the system, and improve the adaptability, rapidity and robustness of the human simulating intelligent control ' s algorithm

    該方法將誤差、誤差導數等特徵量引入參數在線校正公式，克服了以往採用盲目搜索法時校正量與系統實際運行軌跡不匹配的缺點，提高了仿人智能演算法的適應性，快速性和魯棒性。
  6. In order to avoid blind searching ergodicity in the overall situation before reducing the searching space of the variable optimized in chaos optimization algorithm, an optimization algorithm based on the chaos searching direction

    摘要為了克服混沌優化方法在縮小優化變量的搜索空間前所進行的全局性、遍歷性的盲目搜索，提出了一種基於混沌搜索方向的全局最優方法。
  7. Comparing with non - bnyain methods, it ' s prominent featares lay in that it combines the prior and posterior information, which avoids the disadvantag of subjective bias caused by simply using the prior information only, of blind search caused by the incomplete sample information, of noise affection caused by simply using the sample information only if we choice a suitable priof, we can conduct the bayesian leaming effectively, so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics, especially when the samples are rare

    與非貝葉揚方法相比，貝葉斯方法的特出特點是其學習機制可以綜合先驗信息和后驗信息，既可避免只使用先驗信息可能帶來的主觀偏見，和缺乏樣本信息時的大量盲目搜索與計算，也可避免只使用樣本信息帶來的噪音的影響只要合理地確定先驗，就可以進行有效的學習。因此，適用於具有概率統計特徵的數據採掘和機器學習（或發現）問題，尤其是樣本難得的問題
  8. In the optimization of multi - dimensions function, this method definite the searching direction through the chaos firstly, make the problem to a single - dimension optimization question, then solve the single - dimension optimization question with other searching algorithms, this method can correct this default

    在多維函數優化當中，該方法首先通過混沌機制確定搜索方法，將問題轉化為一維搜索問題，然後採用其他搜索演算法求解一維優化問題，此方法有利於改善盲目搜索的缺點。
  9. In the inference processing, the paper employs from - top - to - bottom method to provide the heuristic information for producing alternate step, and it reduce the blindness and search space of playing go game and is helpful for raising the speed of computation. it can adapt programs to time - restricted games and shorten waiting time of the opponent. 5

    在推理機的推理過程中，採用一種自上而下的過程，為產生候選棋步提供了一種啟發式的信息，減少了走棋的盲目性和搜索空間，有助於提高計算的速度，這對于程序適應有時限的比賽，縮短對手的等待時間，是有意義的。
  10. A genetic algorithm ( ga ) based on building block recognition was proposed, in which building block candidates were recognized in evolving process to speed up the search so as to avoid the blindness of ga random searching

    摘要提出了一種基於積木塊識別的遺傳演算法，該演算法通過對進化過程中的候選積木塊進行識別與利用來加速搜索，從而避免遺傳演算法隨機搜索的盲目性。
  11. Besides, it is not fit with the precise adjustment and is difficult to conform the place. a new adaptive genetic algorithm with bp algorithm to optimize weight is backed up. the algorithm which combines the merits of the global convergence of genetic algorithm with fast local researching of bp algorithm not only intensifies the gradual convergence and evolution ability but also advance the speed of convergence, precision of training and generalization

    針對傳統遺傳演算法的搜索過程帶有一定的盲目性，其收斂特性不穩定且收斂速度緩慢，特別是在系統規模較大時，優化效果的明顯改善往往需要相當長的時間，而且不適合候選解的精調，難以確定解的確切位置，提出一種新型自適應性遺傳演算法，並在此基礎上，用bp演算法優化前向神經網路權值，綜合了兩種演算法的優點，即遺傳演算法的全局收斂性和bp演算法局部搜索的快速性，強化了遺傳演算法的漸進收斂和進化能力，全面改善了演算法的收斂性，提高了收斂速度及訓練精度，也擴展了泛化能力。
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