genetic programming 中文意思是什麼

genetic programming 解釋
遺傳編程
  • genetic : adj. 1. 遺傳（學）上的。2. 發生的，發展的；創始的。adv. -ically
  • programming : 編程序的
  1. The first practical commercial area for genetic programming will probably be design

    遺傳規劃第一個實際的商業應用，可能會出現在設計領域。
  2. In an important emerging area of technology called evolvable hardware, however, microchips can be instantaneously configured to physically implement each circuit of a genetic programming run

    不過，在可演化硬體這個新興的重要科技領域中，我們可以立刻組裝微晶片，實質測試遺傳規劃執行過程中每個電路的效用。
  3. Cost forecast based on genetic programming

    基於遺傳規劃的費用預測
  4. An improved algorithm of genetic programming

    遺傳規劃的改進演算法
  5. Application of genetic programming paradigm in classification

    遺傳程序設計方法在分類問題中的應用
  6. Design method of genetic programming based on parameter estimation

    基於參數估計的遺傳程序設計方法
  7. A model based on genetic programming for credit risk assesment in commercial banks

    基於遺傳規劃方法的商業銀行信用風險評估模型
  8. A genetic programming ( gp ) based approach was developed for the synthesis of complex distillation systems

    摘要提出了基於遺傳規劃的復雜精餾系統的綜合方法。
  9. The same seems to be true of genetic programming run on a loosely connected network of computers

    遺傳規劃若是在連結鬆散的電腦網路內執行，狀況似乎也是如此。
  10. Chapter 6 combines the genetic programming with aqmc optimization method to solve the prediction problems

    第6章結合遺傳程序設計方法和自適應擬蒙特卡羅優化方法用於預測問題。
  11. Genetic programming was adopted to carry out the self - adaptive modeling of practical thermodynamic controlled objects

    採用遺傳規劃的方法對熱力系統實際被控對象進行進化自適應建模。
  12. In this paper, genetic programming is applied to optimize the mine transportation vehicles scheduling, which realized automation and intelligence in mine transportation vehicles scheduling. application program is also developed to optimize mine transportation vechiles scheduling, and the probability character of genetic algorithm is also analysed and researched

    本文將遺傳規劃應用於礦山運輸車輛優化調度之中，實現了礦山運輸車輛調度的智能化和自動化，對遺傳演算法的概率特性進行了分析研究，並研製了礦山運輸車輛調度優化的應用程序。
  13. Genetic programming is delivering human - competitive machine intelligence with a minimum of human involvement for each new problem and without using either logical deduction or a database of human knowledge

    遺傳規劃在解決每一個新問題時，都是在人類極少參與的狀況下，自行發展出與人類相當的機器智慧，而且既未採用邏輯推演，也沒有採用人類知識資料庫。
  14. Related topics include first principle based and genetic programming ( gp ) based modeling of refining process, predictive control, predictive inferential control, etc. main contents in the dissertation include : 1. based on the analyses of current status in the research of modeling and control of pulp refining process, some opening problems for developing its computer control system are pointed out

    研究領域包括打漿過程的機理建模、基於遺傳編程的打漿過程建模、預測控制、預測推斷控制等。本文主要研究內容： 1在系統綜述了打漿過程機理模型和打漿過程實時控制研究現狀的基礎上，指出了開發打漿過程計算機控制系統所需解決的幾個主要問題。
  15. Based on the darwinian principle of survival of the fittest, genetic programming uses mutation and replication to produce algorithms for creating ever - improving computer programs

    遺傳編程建立在達爾文最適者生存的自然選擇法則的基礎之上，利用變異和復制來生成演算法，該演算法可創建不斷改進的計算機程序。
  16. We propose a combined slf method to extrapolate feeder load growth by using feeder ' s history peak value and the merits of gray theory and genetic programming ( gp ). at first, we adopt load transfer coupling method to correct load history and its error for load transfer. secondly, we get the real power - supply area by using layer overlap analysis, based on practical feeder path and distribution gis map layer

    將gis的空間信息分析功能應用於配網空間負荷預測的研究：綜合利用灰色理論及遺傳規劃（ geneticprogramming ， gp ）的優點，提出了一種根據饋線的歷史峰值負荷進行外推的組合slf法：首先採用負荷耦合回歸法來修正負荷歷史，消除由於負荷轉移引起的誤差；然後根據實際饋線路徑和配網gis圖形分層，運用圖層疊加分析得到饋線的實際供電范圍；接著採用灰色關聯度聚類方法對饋線負荷增長曲線進行聚類分析；最後採用gp來對灰色聚類結果進行符號回歸，分別得到每一類曲線的最佳擬合曲線形式。
  17. The following aspects are principally studied in the thesis : the information of several respects on genetic programming is learned in depth relatively and broadly

    本文的研究主要集中在以下幾個方面：比較深入而廣泛地學習了關于遺傳編程的各方面的知識。
  18. Evolutionary computation including genetic algorithms, evolutionary progranuning, evolution strategies and genetic programming, is a class of stochastic search algorithms

    進化演算法是借鑒生物自然選擇和遺傳機制而產生的隨機搜索演算法，主要包括遺傳演算法、進化規劃、進化策略、遺傳編程。
  19. In view to that, with the aid of a newly developed evolutionary computation technology, namely, genetic programming, it is significative to study the identification of certain nonmonotonic nonlinear systems based on genetic programming

    針對上述情況，藉助于新興的進化計算遺傳編程方法，研究基於遺傳編程技術的對某類非單調、非線性系統的辨識方法具有十分重要的意義。
  20. With this understanding, generalization is made. first, the basic theory of genetic programming is illuminated here and its attributes are summarized. second, certain phenomena in the run of gp system and the correlative theories are described

    本文首先闡述遺傳編程的原理，概括了該方法的特點；並描述了系統運行中出現的一些現象和理論，隨后對該技術領域的發展方向進行了介紹。
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