gradient descent 中文意思是什麼
gradient descent
解釋
梯度下降-
Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last
在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。 -
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 hese method, one of the simplest is the deepest gradient descent algorithm, but it has one disadvantage that the solutions are oscillatory and slowly convergent. a friction term is ntroduced to avoid oscillatory solutions and raise convergence rate. the third major contribution of this dissertation is study on 3 - d diffuse object surface optical automatic measurement
其次，結合要處理的具體問題，介紹數值優化及幾種常用的無約束最優化計算方法，以最優梯度法為基礎，討論其演算法的優缺點，通過引進阻尼系數，改進了演算法的收斂速度，從而提高迭代精度。 -
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。 -
A developed simple m - s model for image segmentation in geometric active contour model is presented based on intra - region similar and inter - region dissimilar properties. the model constructs an energy ( cost ) function, which is made of intra - region variations and weighting squares of subtraction of region mean values. using gradient - descent methods, the energy function is minimized and we get a curve evolution equation that segments image
基於區域內一致性加權區域間差異性構造能量函數，利用最陡梯度法使能量函數最小化，提出了一種改進的簡化mumford - shah （ m - s ）圖像分割模型，該模型利用區域內方差描述區域內一致性，區域間平均灰度值之差的平方描述區域間差異性，實驗結果表明，通過調節加權系數，該模型對弱邊界圖像分割具有較強的適應性。 -
The back - propagation algorithm also rests on the idea of gradient descent, and so the only change in the analysis of weight modification concerns the difference between t and y
反向傳播演算法同樣來源於梯度降落原理，在權系數調整分析中的唯一不同是涉及到t （ p ， n ）與y （ p ， n ）的差分。 -
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 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。 -
So the paper combined the fuzzy logic control and recurrent neural network, and the recurrent fuzzy neural network ( rfnn ) controller is introduced into the speedsensorless vector control system. moreover, an online parameter training methodology, which is derived from the lyapunov stability theorem and gradient descent method is proposed to increase the learning capability of the rfnn. the rfnn controller has a better performance than the pi controller system ; the effectiveness of the proposed control scheme is verified by simulation results
因此論文將模糊控制和具有優越動態性能的遞歸神經網路結合起來，取長補短，提出了一種遞歸模糊神經網路控制方法，利用神經網路來實現模糊推理，可動態的調整隸屬函數的形狀、位置以及神經網路遞歸權值，並對其與pi控制器的交流調速控制系統進行了模擬比較，模擬結果表明與普通的pi控制器相比較，遞歸模糊神經網路控制器有較好的動態性能，控制器的收斂速度快、靜差小，系統在遇到參數發生變化和外部不確定性問題時魯棒性、抗擾動性有明顯的提高。 -
The gaussian function set depends on its centroid and width, therefore, we derive new supervised gradient descent algorithms to tune the parameters of " if - part " of gaussian functions. it also tunes the " then - part " of gaussian function
高斯型函數是由它的中心和寬度兩個參數決定的，所以，我們給出新的有監督的梯度下降演算法來調整如果部分高斯函數與則部分的高斯函數的中心和寬度。 -
Based on gradient descent rule, the bp ( back propagation ) algorithm is a local optimization algorithm
Bp演算法基於梯度下降原理，是一種局部尋優演算法。 -
A comparative study on some typical improved models of bp networks, which based on gradient descent and numerical optimization are proposed
全局優化改進策略從基於網路模型的優化和基於網路演算法的優化兩個方面考慮。 -
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。 -
Video technol., aug. 1994, 4 : 438 - 442. 4 liu l k, peig e. a block - based gradient descent search algorithm for block motion estimation in video coding
這些演算法適合於用在運動較為平緩的情況下，但是在運動較為劇烈的情況下，這些演算法很有可能陷入局部最優，因而造成搜索精度損失。 -
Is based on the idea of gradient descent
規則是基於梯度降落這樣一種思路。 -
The essence of back propagation networks is that make the change of weights become little by gradient descent method and finally attain the minimal error
其實質是採用梯度下降法使權值的改變總是朝著誤差變小的方向改進，最終達到最小誤差。 -
A gradient descent learning algorithm is employed to train the network. finally, the whole thesis is summarized, and some future research areas are highlighted
最後，對全文作出總結，歸納了本文解決的問題，指出了基於多元統計投影軟測量技術的今後值得關注和深入研究的方向。 -
In this scheme, the inputs of hidden layer neurons are acquired by using the gradient descent method, and the weights and threshold of each neuron are trained using the linear least square method
在該方案中，通過梯度法獲取隱層神經元的輸入，使用線性最小二乘法訓練各神經元的權值和閾值。 -
Using the indices of trajectory follow error and steering busyness in evaluation of the steering stability, a quadratic form performance index function for the neuron learning was established and the tuning of the connection weight values of the single neuron controller was realized using the algorithm of gradient descent
利用操縱穩定性評價中的軌跡跟隨誤差和方向盤忙碌程度的評價指標，建立了神經元學習的二次型性能指標函數，並採用梯度下降演算法實現了單神經元控制器的滾接權值的調整。 -
Secondly, adaptive - network based fuzzy inference systems ( anfis ) turn membership functions in antecedent part and parameters in consequent par of inference rules by means of least - square methods and gradient descent methods
與普通的模糊神經網路相比，這種模糊神經網路收斂速度快，建模精度高。第三，混合模糊神經網路建模。
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