梯降法 的英文怎麼說
中文拼音 [tījiàngfǎ]
梯降法
英文
escalator method-
The hybrid algorithm raises the convergence rate of the conjugate gradient method and solves the problem for which the convergence rate of the steepest descent method get slower when the isopleth of goal function is oblong
這種混合優化演算法結合了共扼梯度法和最速下降法產生搜索方向,既提高了共扼梯度演算法的收斂速度,又解決了目標函數的等值線是扁長橢球時,最速下降法下降緩慢的問題,具有收斂速度快、收斂范圍大、適應面廣等特點。First, we introduce the trapezoid drop method based on cumulative error, and give a study way of adaptation
我們首先簡單介紹基於累積誤差的梯形下降法,在此基礎上,給出了一種自適應學習速率的調整方案。A soft sensor modeling algorithm based on improved fuzzy neural network is presented. the normalized average output membership functions are defined as fuzzy basis functions for defuzzification calculation. in order to improve the property of convergence, some parameters of the fuzzy neural network are trained by levenberg - marquardt algorithm, and the others are trained by gradient descent algorithm
提出了一種改進的模糊神經網路軟測量建模方法,採用規則化的平均輸出隸屬度函數作為模糊基函數進行反模糊化運算;在訓練網路時,部分參數採用levenberg - marquardt演算法來訓練,另一部分採用一階梯度下降法。Among these methods particle co - sedimentation is one of the most promising ways to fabricate large - scale profiles with continuous and smooth variations in composition and microstructure
其中顆粒共沉降法由於可以消除功能梯度材料的界面,實現功能梯度材料在組分上的連續分佈,成為一種重要的功能梯度材料的制備方法。Combining the characteristic of the fabrication of fgm by particle co - sedimentation, the densification of fgm has been designed from three aspects : the densification mechanism, the correlative parameters of the additives and the sintering schedule. subsequently, the densification of the w - mo - ti system composites has been investigated
結合共沉降法制備功能梯度材料的特點,從緻密化的機理選擇,燒結劑種類、含量和粒度的確定,燒結機制的確定等三個方面對其緻密化思路進行了設計,並對論文選用的w - mo - ti體系的復合材料的緻密化進行了初步研究。The weights are trained with gradient descent method. the increase algorithm of bvs, and restricted algorithm, was induced
利用梯度下降法對網路的權值進行訓練,並且推導了bvs的增長演算法,以及網路訓練的限制記憶遞推公式。Optimal periodic control with the lowest operational cost by limiting total substrate discharge mass was studied. through adding new state variable and using supplement functions, the problem with restriction conditions was converted into nonrestriction problem. in addition, the dynamic searching method of optimal step coefficient was developed to modify the conventional gradient method, consequently the calculation problem of the multivariable optimal periodic control was able to be resolved better. it was found that the operational costs of optimal control under various initial states are distinctly different. a new concept of optimal control under optimal initial state was presented. it is pointed out emphatically that to the treatment system without optimal control condition, the suboptimal control with extensive practical value can be realized according to the results of optima control
著重研究了在限制有機物排放總量時,使其運行費用最低的最優周期控制問題.通過增加新的狀態變量和用補償函數法,將本課題的有約束條件問題化為無約束條件問題,並提出了最優步長參數的動態搜索法來修改傳統的梯度法,從而較完善地解決了多變量最優周期控制的計算問題.研究中還發現了不同初始條件下最優控制所需要的運行費用也大不相同,進而提出了最優初始狀態下最優周期控制的新概念,這對保證出水質量的同時進一步降低污水處理成本來說具有更重要的意義.本文還強調指出:對于尚不具備實現最優控制條件的處理系統,可根據最優控制的研究結果實現具有廣泛實用價值的準最優控制Nanometer pore arrays alumina films were prepared by anodizing of highly pure aluminum foils in sulfuric and oxalic acid solution. the porous alumina layers were detached from the al substrate by using step - down voltage or solution method
在草酸和硫酸溶液中,通過陽極氧化高純鋁片的方法制備了納米氧化鋁膜孔陣列,用階梯降壓法或溶解法將氧化鋁膜層和鋁基底分離。Secondly, by incorporating the temporal difference prediction technique with the genetic algorithm, a novel hybrid genetic neural networks for controlling nonlinear chaotic system based on the scheme of small perturbations and the use of gradient descent learning method is presented ( known as hygann strategy )
2 .研究了一種將暫態誤差預測技術、小擾動控制技術、梯度下降法和遺傳演算法( ga )融合起來控制非線性混沌系統的復合遺傳神經網路方法(簡稱hygann法) 。The main contributions of this dissertation are summarized as follow : ( 1 ) an ilc approach combining feedforward with current feedback is developed based on optimal feedback control and the gradient method. a sufficient condition that guarantees the convergences is given for linear system. the procedures of designing the algorithm can employ lqr, h2 or h approaches to improve the convergence rate of learning in iterations
本文的主要成果有: 1 、在開閉環綜合迭代學習控制結構的基礎上,分析了利用梯度下降法設計前饋迭代學習控制器時,為保證演算法的收斂性,閉環控制系統應該滿足的充分條件,並依據提高演算法收斂速率的優化條件,給出了基於lqr 、 h _ 2和h等優化控制技術的迭代學習控制演算法的設計方法。In crystal growth experiment, aggas2 crystal was growen in special quartz ampoule by crucible descending method ( b - s method ). the equipments were used, which consist of a two - zone vertical growth furnace whose temperature gradient is tunable, a descending device with decelerating rate of 1 : 2000, a controlling system of electy and a temperature testing system using thermal couples
晶體生長實驗中,我們利用上下溫度梯度可調的二溫區管式生長爐, 1 2000減速比的旋轉下降系統,電氣控制系統和密集適時測溫系統等,在特殊形狀的石英生長安瓿中,採用坩堝下降法( b - s法) ,以合成的aggas _ 2多晶原料進行晶體生長。The self - tuning fuzzy control algorithm including a back - propagation - based fuzzy controller and the gradient descent method is applied to reduce the pitch motion of the swath ship with control stabilizing fins
控制模式為一自調模糊控制,包括應用一類神經倒傳遞觀念的模糊控制器及梯度下降法來減少縱搖運動。A cost function is explored by considering the independence of the improper sources, and the online separation algorithm is then deduced with descending gradient
結合非常態信號的獨立性,構造出代價函數,利用梯度下降法推導出在線盲分離演算法。Natural gradient is a new optimization way that is proposed in a special space ? riemannian space. the parameter space in blind source separation is riemannian space. natural gradient has many better characters compared with normal gradient
自然梯度下降法是一種新的最優化方法,自然梯度下降法是在黎曼空間下提出的,自然梯度相比于標準梯度有很多優點。But it has intrinsic defects such as low convergence and local minimum because the negative gradient method is adopted in weight adjusting. an improved rbf network is introduced which has the advantage in digital approximation, classification and learning rate and at the same time, the corresponding sensibility is also analysed
但bp網路在用於函數逼近時,權值的調節採用的是負梯度下降法,這種調節方法有它的局限性,如收斂速度慢和容易陷入局部極小等缺點。Different training algorithms, namely levenburg - marquart algorithm and the gradient - based algorithm with an adaptive learning rate and momentum, are compared in this paper. according to the engineering requirement, dimensions of idc can be designed using the trained ann model and ga
將自適應調整學習率並加入動量因子的梯度下降法和levengurg - marquart訓練演算法的訓練結果做了比較分析,同時引入了性能函數的改進形式。Convergence analysis on a class of nonmonotone conjugate gradient methods without sufficient decrease condition
一類無充分下降條件的非單調共軛梯度法的全局收斂性分析A new kind of optimal selection cluster algorithm ( osca ) is presented in this paper, and a new hybrid algorithm is obtained by combining osca with least squares method and gradient algorithm. the algorithm can synchronously solve the identification problems of the new fuzzy neural network model ' s structure and parameters
提出一種新型優選聚類演算法,並將該演算法與最小二乘法和梯度下降法相結合,形成一種新的混合學習演算法。該演算法能同時解決上述新型模糊神經網路模型結構和參數的辨識問題,進一步提高了模型的辨識精度。The parameter of local model can be calculated by gradient descent in neighborhood with the sofm weight together, or estimated by least - squared estimation ( lse )
局部模型的參數既可和映射網路權值一起在鄰域內採用梯度下降法修正,也可結合最小二乘法得到其最佳估計。Based on the steepest descent method and the conjugate gradient method, a hybrid algorithm is proposed in this paper, and its global convergence is proved
摘要將最速下降法與共扼梯度法有機結合起來,構造出一種混合優化演算法,並證明其全局收斂性。分享友人