crossover structure 中文意思是什麼
crossover structure
解釋
跨接結構-
Approach on break crossover point diastrophism direction of break coal intersecting line drawing in complex structure area
復雜構造區斷煤交線繪製法中斷裂交點錯動方向的探討 -
Through the simulation of large - scale circuit simulation proved that use the crossover tearing technology could detailed network structure, simplify the diagnostic process, and the neural network can parallel deal with the diagnosis information, and the logic operation can judge the information of the multi - fault. the illustrative simulation shows that it can increase the diagnosis speed and decrease the workload before test
通過對大規模模擬電路的模擬證明，使用交叉撕裂明細網路結構，簡化診斷過程，且運用神經網路組對信息進行并行處理，邏輯分析運算對多故障信息進行處理判斷，大大提高了故障診斷速度，減小了測前工作量。 -
In this paper, a genetic algorithm was presented to solve the problem of the searching of the optimal coalition structure. we designd one - dimension chromosome coding structure and the corresponding improved uniformity crossover operator and the heuristic mutation operator
我們給出了一種求解最佳聯盟結構的gas演算法，設計出了一種簡單的一維自然數染色體編碼結構和改進的均勻交叉運算元以及啟發式變異運算元。 -
The author expatiated on the basic structure, coding manners, decoding rules, fitness function selection, self - adapted mutation and crossover operator, the judging flow of chromosome feasibility of the algorithm, finally, put forward the computing result with pattern of data table and gantt graph
詳細地闡述了演算法的基本結構、編碼方式、解碼規則、適值函數的選取、自適應變異和交叉運算元的設計、染色體可行性的判斷流程，最後以數據表和甘特圖的方式給出了計算結果。 -
This paper discusses the distance between tracks of main line irrelevant to code for metro design ( gb50157 - 2003 ), proposes the structure of the single crossover which couldn ' t be reconstructed or strengthened, in order to find some solutions to this problem
對單渡線的插入短鋼軌長度不滿足《地鐵設計規范》要求時，在單渡線結構不作加強和改進，並以確保行車安全為前提的基礎上對單渡線線間距作了探討。 -
Perfection and adjustment according to system properties, it combines genetic algorithms with fuzzy control, detailed analyzes the problem of designing fuzzy controller and proposes two advanced schemes : first scheme : the change - of - variables are emerged into input variables of the simple fuzzy controllers of oil feeding pump system as one variable, and one pi block is connected after output of fuzzy controllers, consequently the structure of the improved fuzzy controller is analyzed, finally genetic algorithms with adaptive probabilities of crossover and mutation is applied to optimize membership functions and fusing factors of the fuzzy controllers, and the simulation results of before and after optimization are compared
由於在模糊控制器的設計過程中存在較多的人為因素，為了實現根據系統特性對模糊規則和隸屬函數進行自動修正、完善和調整，本文將遺傳演算法和模糊控制結合起來，並針對前面設計的模糊控制器中所存在的問題進行了詳細分析，提出了兩種改進方案： 1在簡單模糊控制器的輸入變量中加入了變量變化率的信息，即將輸入變量和變量的變化率融合為一個輸入量，並在模糊控制器的輸出端加入比例、積分環節，然後分析了這種改進后的模糊控制器的解析結構，最後採用改進后的自適應遺傳運算元的遺傳演算法對模糊控制器中的隸屬函數和融合因子進行優化，並將優化前後的結果作了比較和分析。 2
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