fuzzy genetic algorithm 中文意思是什麼
fuzzy genetic algorithm
解釋
模糊遺傳演算法-
Parameter of parallel multi - deme fuzzy genetic algorithm
并行多種群模糊遺傳演算法參數 -
They learn from others " strong points to offset one ' s weakness, therefore two research direction - genetic fuzzy system and fuzzy genetic algorithm ( fga ) - appear
現階段，模糊遺傳演算法的發展還不十分成熟，對其認識也眾說紛紜。 -
Fuzzy neural controller based on genetic algorithm
基於遺傳演算法的模糊神經控制器 -
( 3 ) a minutiae matching method combining genetic algorithm and fuzzy logic is proposed
（ 3 ）提出了綜合利用遺傳演算法和模糊邏輯的細節點匹配方法。 -
2. a method combining some of the composite space structural simulation, wavelet analysis, fuzzy mathematical, genetic algorithm, artificial intelligence, expert system, vibration diagnosis, acoustic sounding, supersonic flaw detection, radioscopy, infra - red detection and so on to diagnose the composite structure damage is discussed
本文對把復合材料大跨建築結構模擬、小波技術、模糊數學、遺傳演算法、人工智慧、專家知識、振動診斷、聲發射技術、超聲波檢測、射線探傷、激光全息檢測、紅外線檢測等方法中的幾種融合在一起對復合材料大跨建築結構進行損傷診斷的方法進行了探討。 -
In study of the submarine movement in deep sea a new approach with fuzzy sliding - mode control and double - gene genetic algorithm is proposed for designing combined maneuvering control system of submarines. simulation results showed that the approach not only remains robustness of sliding - mode control, but also avoids thq effect of chattering phenomenon, possess better performance of the system
在研究潛艇在深海航行的操縱控制中，首次提出了具有雙基因遺傳演算法的模糊滑模控制器的新方法，模擬結果表明了該方法不僅避免了抖振的影響，而且具有很好的系統性能。 -
Study on intelligent flight control system based on genetic algorithm and fuzzy logic control
基於遺傳演算法和模糊邏輯的智能飛控技術研究 -
Adaptive genetic algorithm based on six fuzzy logic controllers
基於六模糊控制器的自適應遺傳演算法 -
A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method
提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求，選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化，再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法，通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍，以速度調節器和電流調節器的參數為染色體中的基因，通過遺傳演算法在搜索范圍中優化這些基因，獲得優化解.實驗結果表明，所設計的參數能使系統性能指標有顯著提高 -
Sim - cheng lin, yung - yaoo chen. design of silf - learning fuzzy sliding mode controllers based on genetic algorithm. fuzzy sets and systems. 1997, 86 : 139 - 153
鄭懷林，陳維南.基於遺傳演算法的模糊滑模控制器設計及其在直流伺服系統中的應用.電氣自動化， 2000 （ 1 ） 38 - 39 -
Genetic algorithm with fuzzy penalty function and its application in curve smoothing
模糊罰函數遺傳演算法及其在曲線光順中的應用 -
Image correlation matching method based on fuzzy genetic algorithm
自然數編碼遺傳演算法在圖像相關匹配中的應用 -
Site experiment were carried out on the testing vehicle for ahs and the magnetic markers road in national intelligent transport system center. also, study on multi - sensor information fusion and control model by using neural net system, fuzzy logic and genetic algorithm were carried out. the work completed are as follows mainly : ( 1 ) hardware system for lane keeping system including magnetic marker, magnetic sensor, control system and executor machine were designed
本文以國家智能運輸系統研究中心的自動公路系統試驗車和專用的磁軌釘道路為工作平臺，在大量的現場實驗基礎上，針對基於磁軌釘導航的車輛車道保持技術中的若干問題展開研究，運用神經網路、模糊邏輯、遺傳演算法等方法在多傳感器信息融合、控制模型等方面進行了系統的研究，主要完成了以下幾方面的工作： （ 1 ）對車道保持系統硬體平臺進行了設計，論述了導航設施? ?磁軌釘的設計過程和車載工控機、步進電機等的選擇。 -
In the paper, a speed estimator based on artificial neural network is designed according to the principle of direct torque control, the speed estimator is optimized by genetic algorithm, and the parameters of pid speed adjuster is also optimized by genetic algorithm. a stator linkage and torque observer based on stator resistance estimator using fuzzy neural network is also designed. eventually, the intelligent control of direct torque control system is implemented
本文根據異步電動機直接轉矩控制原理，在應用人工神經網路進行速度辨識的基礎上，利用遺傳演算法對神經網路速度辨識器進行了優化設計；運用遺傳演算法對pid速度調節器的結構和參數進行了整合；在採用模糊神經網路對電機定子電阻辨識的基礎上，進行了定子磁鏈及轉矩的觀測，為最終實現無速度傳感器直接轉矩控制系統的智能控制創造了條件。 -
This paper exhausts fully adjustable factor which could amend the dynamic function in fuzzy control system, and that traditional algorithms select factors with intercession is easy to get a partial solution, so this paper presents a new method to select factors based on genetic algorithm. this method has a large range over covered the solutions which could benefit to search the best solutions. it has great character and advantage
本文充分闡述了可調整因子在模糊控制中能夠改善了系統的動態性能，並根據傳統的優化演算法在選取控制因子時是從單個初始值迭代求取最優解的、很容易陷入局部最優解這一問題，提出了一種基於遺傳演算法的可調整因子的選取方法，這種方法覆蓋面比較大，有利於全局擇優。 -
In this paper, fuzzy pid controller based on t - s model has been studied. due to lacks of criterion of optimization and excessive tuning parameters, the adaptive genetic algorithm with variable cross and mutation probability is used to optimize the parameters and the performance of control systems is improved. firstly, based on modified pid - flc with four fuzzy rules, scaling factor and the fuzzy consequent parameters are optimized by aga with multiple performance indexes respectively
本文主要研究基於t - s模糊模型構成推理形式的模糊pid控制器，針對以往的模糊pid控制沒有統一的參數整定的準則及大量的待整定參數，本文採用具有動態交叉、變異概率的自適應遺傳演算法（ aga ）優化控制器的待定參數，改善了系統的控制性能。 -
Solving unit commitment problem based on fuzzy genetic algorithm
基於模糊遺傳演算法的機組組合問題的求解 -
Fuzzy genetic algorithm - based electro - hydraulic servo system control
基於模糊遺傳演算法的電液位置伺服系統控制 -
Parameter optimization in industrial process control based on fuzzy genetic algorithm
基於模糊遺傳演算法的工業過程式控制制參數優化研究 -
The floatwall in combustor is an important structure for aero - engine to improve its power - to - weight. fga - fem was put forward to optimize the floatwall structure, and fga - fem combined fuzzy genetic algorithm ( fga ) and finite element method ( fem )
本文提出一種採用有限元方法（ fem ）和模糊遺傳演算法相結合的方法即模糊遺傳演算法-有限元的結構優化方法（ fga - fem ） ，並將該方法應用於燃燒室浮動壁結構的優化計算和分析，取得了較好的效果。
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