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- In this paper,a class of new descent algorithm is proposed to solve unconstrained optimization problems. 研究給出了一類(lèi)新的求解無(wú)約束優(yōu)化問(wèn)題的下降算法。
- The main role for the Line-Up Competition Algorithm LCA) is in global research, while Speediest Descent Algorithm (SDA) is in local search. 其中,列隊競爭算法的主要作用是實(shí)現全局搜索,而梯度法的作用是實(shí)現局部尋優(yōu),這兩種方法的結合,可以使全局搜索與局部搜索達到均衡和統一。
- A descent algorithm for solving unconstrained optimization is discussed. Global convergence result is established with inexact line search. 摘要研究了求解無(wú)約束優(yōu)化問(wèn)題的一種共軛下降算法，并在非精確線(xiàn)搜索條件下證明了該算法的全局收斂性。
- Proposed a new competition algorithm based on gradient descent algorithm acorrding to a cost function defined,and proved the convergence of the new algorithm. 根據定義的損失函數,利用梯度下降法得到新的模型競爭學(xué)習算法,并證明了該競爭算法的收斂性。
- BP neural network can efficiently approximate any nonlinear system, but there is a problem of inefficient learning speed with the conventional steepest descent algorithm. BP神經(jīng)網(wǎng)絡(luò )可以有效地對非線(xiàn)性系統進(jìn)行逼近,但是傳統的最速下降搜索方法存在收斂速度慢的問(wèn)題。
- To achieve better network generalization capability, the PSO combined with the gradient descent algorithm was applied to optimize the parameters of the ellipsoidal units. 為提高橢球基概率神經(jīng)網(wǎng)絡(luò )的性能，提出了一種把粒子群優(yōu)化算法和梯度下降算法相結合的混合結構優(yōu)化算法用于橢球基神經(jīng)元的優(yōu)選和控制參數的優(yōu)化。
- Proposed a new competition algorithm based on gradient descent algorithm acorrding to a cost function defined, and proved the convergence of the new algorithm. 根據定義的損失函數，利用梯度下降法得到新的模型競爭學(xué)習算法，并證明了該競爭算法的收斂性。
- The new method treats the problem of parameter estimation and noise reduction for chaotic time series as a nonlinear minimization process and solves it using steepest descent algorithm. 這種新方法把對混沌時(shí)間序列的參數估計和噪聲抑制看作是一種最小化過(guò)程，并利用了最速梯度下降方法解決。
- For the unrelated parallel-machine scheduling problem,the average performance of the ILS with SS make an improvement 6.06% over that of the ILS without SS,and also is better than that of multi-start descent algorithm. 對于無(wú)關(guān)并行機問(wèn)題;引入SS搜索方法后;ILS算法的計算結果改進(jìn)了6.;06%25;并明顯優(yōu)于多點(diǎn)下降算法
- Steepest descent algorithm and variable step size adaptive algorithm designed by us are used in computer simulations.The tracking curve, MSE, and constellation of BPSK are presented. 文中用最陡下降法和變步長(cháng)自適應算法進(jìn)行了計算機仿真，給出了頻偏跟蹤曲線(xiàn)和BPSK的星座圖。
- The new method treated the problem of parameter estimation and filtering for chaotic time series as a nonlinear minimisation process and solved it by using a steepest descent algorithm. 這種新方法把對混沌時(shí)間序列的參數估計和濾波看作是一種最小化過(guò)程，并利用了最速梯度下降方法解決。
- With the correlation between the previous and the following sequence and the steepest descent algorithm, the new algorithm utilized DLMS to estimate the mutlichannel of the multiuser. 根據前后序列之間的相關(guān)性和最陡下降法，提出了解相關(guān)最小均方(DLMS)多用戶(hù)上行復合信道的盲估計。
- In this paper, we propose a family of random coordinate descent algorithms to directly minimize the 0/1 loss for perceptrons, and prove their convergence. 在本文中，我們提出隨機坐標減少演算法來(lái)直接最佳化0/1損失，并證明其收斂性。
- To enhance convergence rate and global convergence ability，a new improved algorithm is proposed by adding Gaussian mutation and the steepest descent algorithms，whose convergence is proved. 該改進(jìn)算法通過(guò)引入高斯變異算子和最速下降算子來(lái)改善人口遷移算法的收斂速度和全局收斂性，并對其收斂性進(jìn)行了證明。
- derivative -free descent algorithm derivative-free下降算法
- Here there is a gradual descent to the sea. 這里有個(gè)通向海的緩坡。
- derivative-free descent algorithm Derivative-Free下降算法
- There was a descent of temperature after rain. 雨后氣溫下降了。
- Stochastic parallel gradient descent algorithm 隨機并行梯度下降算法
- He traces his descent back to an old norman family. 他追蹤自己的世系上溯至一個(gè)古老的諾曼家族。
