simulated annealing sa 中文意思是什麼
simulated annealing sa
解釋
模擬退火演算法-
The main contributions are as follows : ( 1 ) de ( differential evolution ) algorithm is proposed to invert the ocean acoustic parameters in shallow water in order to get faster and more accurate results than ga ( genetic algorithm ) and sa ( simulated annealing algorithm ). also a posteriori probability analysis method is applied to evaluate the uncertainty of inversion results. ( 2 ) maximum likelihood objective functions for broadband mfi are derived according to different conditions
（ 2 ）根據不同的前提條件，採用似然比的方法推導了寬帶匹配場反演的最大似然目標函數；深入地研究了寬帶匹配場處理中的相干與非相干問題；在分析參數反演的敏感性之後，提出了淺海環境參數寬帶匹配場反演的多步優化策略，並與全參數反演方法進行了性能上的模擬比較。 -
Adopt two neural networks ; using principal component analysis based neural network ( gha ) to acquire three principal components and using simulated annealing ( sa ) and bp network to class and recognize the marrow cells
採用兩級神經網路，利用基於神經網路的gha演算法獲得圖象的三個主分量，然後採用模擬退火演算法和bp演算法進行細胞的分類識別，獲得了較好的識別效果。 -
Based on the comparing analysis and character of clustering algorithm the simulated annealing （ sa ） algorithms was applied to the data clustering. simulated annealing （ sa ） algorithms are random search techniques based on physical annealing process, which can prevent the optimizing process into local optimization and get the global optimization
演算法以優化過程的求解與物理退火過程的相似性為基礎，通過接受準則和對下降溫度的控制，能夠有效的克服優化過程陷入局部極小從而獲得全局最優解。 -
Three - dimensional packing ( tdp ) is a combinatorial optimization and hp - complete problem and applied widely to the mechanical manufacture and traffic transportation industries. up to now there are varieties of heuristic algorithms to solve the tdp because of its high complication, we discuss the heuristic algorithm deeply in this paper and apply the simulated annealing ( sa ) algorithm to the packing system
三維布局問題屬于組合最優化問題和np完全問題，具有高度復雜性，用一般的數學方法根本無法求解，目前解決三維布局問題多為各種啟發式方法，本文在對啟發式方法進行深入探討的基礎上，採用了用於解決一般三維布局問題的模擬退火演算法作為布局系統的操作演算法。 -
In dealing with the problem of particle swarm optimization ( pso ) algorithm evolving program, this paper aims at an adoption of simulated annealing ( sa ) to improve the particle swarm algorithm and establish an sa - pso optimization model
摘要針對粒子群優化演算法後期易陷於局部最小的缺點，引入模擬退火思想，建立模擬退火粒子群優化演算法。 -
Secondly, the following two subjects are discussed according to the calculation of short - circuit current : ( l ) to verify the dynamic stability condition of wires by using simulated annealing algorithm ( sa ), the paper calculates the maximum value of rectangle wires " short - circuit electrodynamic stress and gets the conditions of their having the maximum value. furthermore, some concerned data about the verifying of copper wires are given by analysing vibration spectrum of the electrodynamic stress ; ( 2 ) in order to get the heat withstand conditions of wires, the paper discusses some common calculation methods, and then tries to study the problem applying artificial neural network ( ann ) based on heat principle of metals. the model is shown to be feasible
其次，在電路中短路電流計算的基礎上， （ 1 ）進行母線的短路動穩定校驗計算：採用模擬退火演算法（ sa演算法）計算了矩形母線短路電動力的最大值及其取極值的條件，獲得了更為一般的結果，進而通過短路電動力的頻譜分析，給出了銅質母線的有關短路校驗計算數據； （ 2 ）進行母線的短路熱穩定校驗計算：討論了熱穩定校校的幾種常用計算方法，從導體或電器的發熱機理出發，運用人工神經網路理論對母線的熱穩定問題進行計算，通過算例比較，證明該方法用於熱穩定計算是可行的。 -
The optimal design of water supply networks is an important task of town water supply engineering. it has been broadly and deeply studied by many domestic and foreign scholars and many representative optimal theories and design methods have been advanced such as enumerating method, liner programming method, dynamic programming method, genetic algorithms ( ga ) and simulated annealing ( sa ) and so on
給水管網優化設計是城鎮供水工程的一項重要工作，國內外許多學者都對此做了廣泛、深入的研究，提出了很多具有代表性的優化設計理論與方法，例如枚舉法、線性規劃法、動態規劃法，還有遺傳演算法和模擬退火演算法等。 -
The effective optimize technology, the expression and management of packing solid are the two key technologies for solving this problem to utilize existing literature, a packing system is developed on the basis of autocad with simulated annealing algorithm ( sa ), which is propitious to general three - dimensional packing problem
有效的優化技術，對布局實體的表示和處理，是解決三維布局問題的兩個關鍵。本文論述了在現有研究成果的基礎上，採用適合於解決一般性三維布局問題的模擬退火演算法，在autocad圖形系統上開發用於解決任意形狀三維物體布局問題的自動布局系統。 -
The stochastic disturbance is brought to the deformable models and the simulated annealing is introduced to the iteration process. a new algorithm named sa snake ( simulated annealing snake ) is proposed. the algorithm has the ability to search globally
為了解決這個問題，我們在可變形模型中加入隨機擾動因素，考慮在迭代過程引入模擬退火的思想，提出了一種稱之為基於模擬退火的可變形模型sasnake （ simulatedannealingsnake ）的新演算法，演算法具有全局搜索能力。
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