數學尋優過程 的英文怎麼說
中文拼音 [shǔxuéxúnyōuguòchéng]
數學尋優過程
英文
mathematical search procedure- 數 : 數副詞（屢次） frequently; repeatedly
- 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
- 過 : 過Ⅰ動詞[口語] （超越） go beyond the limit; undue; excessiveⅡ名詞（姓氏） a surname
- 程 : 名詞1 （規章; 法式） rule; regulation 2 （進度; 程序） order; procedure 3 （路途; 一段路） journe...
- 數學 : mathematics
- 過程 : process; procedure; transversion; plication; course
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In the process of seeking the inverse solution, the traditional method abandoned, a new " way - - - - ihca was gained by extracting the advantages of hill climbing and enlightening from the numeral described in the computer threory, and the algorithm flow chart was written out clearly
在求取運動學逆解的過程中，對新方法進行努力的探索。吸收人工智慧中的啟發式搜索演算法? ?爬山法的優點，從計算機原理中位置數制的描述獲得啟發，得到搜索演算法的步長，探尋求取運動學逆解新方法? ?智能登山法，並寫出完整的演算法流程。Firstly, the paper analyzes the type, characteristic, manifest and reason of the commercial bank ' s risk in its running. secondly, based upon the further analysis of the traditional alertness - forecasting methods, put forward the methods used in the thesis combined by fuzzy mathematics theory and back propagation nn technique, and analyze the feasibility and advantages of the application of this method into the construction of commercial bank alertness - forecasting system. thirdly, apply the method combined quantitative with qualitative analysis, as well as theoretic analysis with positive study to establish an easily operated index system of the commercial bank ' s risk and find a perfect alertness - forecasting method, furthermore, to establish an alertness - forecasting system in order to control and manage the commercial bank ' s risk
本文首先對我國商業銀行進行了風險識別，深入分析了商業銀行在其運行過程中存在的風險類型、特點、表現及其致因；其次，在對傳統預警方法深入分析的基礎上，提出了本文所採用的模糊數學理論和bp神經網路技術相結合的預警方法，並分析了將本文的預警方法運用於商業銀行風險預警系統構建的可行性和優越性；再次，本文運用定量分析和定性分析相結合、規范分析和實證研究相結合的方法，構造出一套比較能反映商業銀行風險的指標體系，尋求了一種比較理想的預警方法，進而設計出商業銀行風險預警系統，並進行了實證分析，以達到對商業銀行風險進行實時監控的目的；最後，筆者對本文的研究成果進行了總結。( 2 ) combining secondary genetic algorithm with back - propagation network, the thesis redacts genetic neural network procedure, which optimizes number of hidden node and weight value and threshold value simultaneously. the procedure overcomes blindness during search, avoids falling into localminimum and increases learning accuracy
（ 2 ）編寫了遺傳神經網路ga - bp程序，採用二級遺傳演算法與bp演算法相結合，同時優化網路隱層節點數和權值、閾值，既克服了尋優過程的盲目性，又避免陷入局部極小，提高了網路的學習精度。
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