evolutionary computation 中文意思是什麼
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Secondly, the artificial neural networks and mixed evolutionary computation are employed into the mathematical simulation of complex geological structure, and with gis and visualization technique, the method of geological digital 3 - d modeling and visualization is presented. so, not only the functions of making geological section and querying spatial information could be achieved, but also the spatial distribution of geological structures and their complex relationship could be described visually. thereby an interactive and convenient way for engineering geological design could be actualized
（ 2 ）提出了復雜地質構造數學模擬的神經網路方法與混合進化方法，並利用gis技術和可視化技術，深入研究了數字地質三維建模及其可視化方法，實現了地質三維任意剖切、信息空間查詢與管理等功能，從而為直觀描述地質構造的空間展布及其相互間的復雜空間關系，以及快捷、交互地進行工程地質設計提供了新的途徑與手段。 -
Pan zj, kang ls, chen yp. evolutionary computation. beijing : tsinghua university press, 1998 ( in chinese )
潘正君，康立山，陳毓屏.演化計算.北京:清華大學出版社， 1998 -
On - line handwriting signature verification is a hot direction of the biometric identity recognition. this paper tries to apply the evolutionary computation theory to on - line handwriting verification
在線手寫簽名驗證是目前生物特徵識別領域較為熱門的一個方向，論文試圖將演化計算的思想，用於在線簽名驗證。 -
The optimization time and the optimization quality of evolutionary computation ca n ' t keep up with the actual demand. in order to solve the massive complicated optimization problems, the author analyzes the parallelization principle and the application environment of parallel evolutionary computation, and presents internet - based parallel evolutionary computation ( ipec )
為解決大規模復雜優化問題，本文就并行進化計算的并行化原理和應用平臺進行分析，提出了基於internet環境的并行進化計算（ internet - basedparallelevolutionarycomputation ，簡稱ipec ） 。 -
Evolutionary computation, neural computation and dna molecular biology technique are respectively corresponding to three different levels which are organism, nerve cell and molecular in the process of simulating brainpower. so we can see that the last method that base on simulating and studying on dna of biology is more probably to show up the essence of formation of brainpower
從遺傳進化、人工神經網路和dna分子生物技術對智能的模擬過程看，它們分別對應生物群體、生物神經元和生物分子三個截然不同的層次，由此可以看到，基於對分子生物dna的模擬和研究將有可能更深刻地揭示智能形成的本質。 -
Intelligent virtual environment is a test - bed for theories in artificial life, cognitive creatures arises from the evolutionary computation embedded in the artificial life simulation, they are intelligent agents that perceives the virtual environment through a simulated vision system
虛擬生物是智能虛擬環境的一部分，也是檢驗人工生命理論的一種實驗手段。從人工生命的觀點來看，虛擬生物的感知、認知是進化計算中自發突現的結果，本質上也是一個模式形成過程。 -
Among those revealed at the genetic and evolutionary computation conference held in london this summer were long - life usb memory sticks, superfast racing - yacht keels, ultra - high - bandwidth optical fibres, high performance wi - fi antennae ( evolved to avoid patent fees ), cochlear implants that can optimise themselves to individual patients and a cancer - biopsy analyser that was evolved to match a human pathologist ' s tumour - spotting skills
在今年夏天在倫敦舉行的」基因和進化計算大會「上所透露的一些（應用）中就有長壽命usb記憶棒、超速賽艇艇身、超大容量帶寬光纖， （為了逃避專利費而進化的）高性能無線網路天線、能適應單獨病人而自動最優化的助聽器，以及為匹配病理學家識別腫瘤技能而進化出的一種癌癥活組織檢查器。 -
Among those revealed at the genetic and evolutionary computation conference held in london this summer were long - life usb memory sticks, superfast racing - yacht keels, ultra - high bandwidth optical fibres, improved cochlear implants and a cancer - biopsy analyser that matches a human pathologist ' s tumour - spotting skills
2007年夏天，在倫敦巨型的基因與進化計算論壇中揭露了一些成果，其中就包括了終身使用的usb記憶棒、超快的競賽遊艇的龍骨、超高的帶寬光學前為纖維、改進的耳蝸移植，以及一個與人類病理學家的腫瘤定位技能相吻合的癌癥活組織檢查分析儀。 -
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。 -
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。 -
Application of mind evolutionary computation in image recognition
思維進化計算在圖像識別中的應用 -
A generalized evolutionary model based on genetic algorithm and mind evolutionary computation
基於遺傳演算法與思維進化計算的一種廣義進化模型 -
So our work can be seen as a good try of evolutionary computation for more application in the field of image processing
該項工作為進化計算在圖像處理領域的進一步應用進行了有益的探索和嘗試。 -
Evolutionary computation is a computational model that simulates evolutionary process in nature, and has been paid many attentions and studies by many researchers in the world
進化計算是模擬生物進化過程與機制的一類隨機優化計算模型。自從80年代中期以來，世界各國都掀起了進化計算的研究熱潮。 -
In the algorithm, we look the image - matching problem as a kind of optimization problem that finds a most suitable matching point in matched image. then we use the strong global optimization capability of evolutionary computation to solve the complicated matching problem
該演算法將圖像匹配問題看作為尋求最優匹配點的尋優問題，然後利用進化演算法的強大的全局尋優性能來對圖像進行匹配。 -
Computational intelligence and its application in water conservancy and hydropower engineering ( ph. d. dissertation ) doctoral candidate : xu shigang supervisor : suo lisheng chen shoulun ( hohai university, nanjing, 210098 ) abstract computational intelligence ( ci ) which includes evolutionary computation ( ec ), neural networks ( nn ) and fuzzy system is a new subject developing rapidly
計算智能包括進化計算、神經網路和模糊理論，是一門正在迅速發展的學科。本文對遺傳演算法、前饋神經網路、自組織特徵映射神經網路及雜合系統進行較為系統的研究，並將成果應用於水利水電工程中，形成了理論、方法與應用研究的完整體系，其主要內容如下： 1 -
We are experimenting with the evolution of artifical neural networks ( anns ), hence we are combining the two fields of evolutionary computation and artificial neural networks
我們正在進行人工神經網路（ ann ）的進化理論的實驗，因此將進化計算和人工神經網路兩個領域相接合。 -
On the other hand, by combining fuzzy logic, evolutionary computation and stochastic optimal methods, structure and learning algorithms of neural networks are studied for neural control, which is one of the important branches of intelligent control
而通過對神經網路的結構和學習演算法的研究，結合模糊邏輯、進化計算和隨機優化等方法，探討了智能控制中的重要的分支? ?神經網路控制的有關理論與技術。 -
Hierarchy theory is introduced to interactive evolutionary computation and hierarchical interactive evolutionary computation is put forth aiming at inefficient local search problem of the existing interactive evolutionary computation
摘要針對目前互動式進化計算存在的局部搜索能力不強、效率低下等問題，將分層的思想引入互動式進化計算，提出了分層互動式進化計算。 -
The thesis proposes to solve such kinds of hev propulsion system optimization problems using the evolutionary computation techniques. single objective optimization and multi - objective optimization will be both explored based on the hev propulsion system simulation software advisor by treating the typical performance parameters of the components and the major control strategy parameters as optimization variables together
本文提出用演化計算來求解這類hev的驅動系統優化問題，將各部件典型的性能參數和主要的控制策略參數同時作為優化變量基於hev驅動模擬軟體advisor進行單目標優化和多目標優化。
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