提出一种稳定的IR自适应滤波器，并给出了系数迭代的非线性梯度算法。
This paper puts forwards a stable IIR adaptive filter, along with the nonlinear gradient algorithm concerning its coefficient iteration.
利用优化问题的非线性共轭梯度法与混沌优化方法相结合，提出了一种新的混合优化算法。
A new hybrid algorithm which combines the chaos optimization method and the nonlinear conjugate gradient method approach having an effective convergence property is proposed.
讨论带不等式和等式约束优化问题，提出了求解非线性规划问题的广义摄动梯度投影算法。
In this paper, the constrained optimization problem is discussed to arrive at a general perturbed gradient projection method for solution.
非线性优化技术、分枝定界算法和不完全乔莱斯基分解的预优共轭梯度法是该工作的三个主体部分。
Nonlinear programming techniques, branch and bound algorithms and incomplete Cholesky decomposition conjugate gradient method (ICCG) are the three main parts of our work.
给出了一个基于自然梯度的后非线性多信道盲解卷算法。
A natural gradient based algorithm for multichannel blind deconvolution of post-nonlinear mixtures is proposed.
提出一种基于非线性共轭梯度法的唯相直接数据域最小二乘算法。
A phase-only direct data domain least square (D3LS) algorithm based on the nonlinear conjugate gradient method was proposed.
基于同伦映射的思想，改进了求解非线性反问题的梯度正则化算法。
Based on idea of homotopy mapping, an improved gradient regularization algorithm was developed.
分离系统的线性部分和非线性部分参数学习都采用自然梯度算法。
The natural gradient method is applied for parameter learning of the linear and nonlinear parts of the separating system.
本文以递推随机梯度算法为基础，给出了寻求一类非线性系统的自适应控制律的方法。
In this paper, on the base of the recursive stochastic gradient method, a kind of adaptive control algorithm of the non-linear system has been given.
基于梯度下降思想提出离散修复算子，提高算法对非线性约束的处理能力。
Discrete repair operator is presented on the basis of the theory of gradient to improve the performance of the algorithm in solving non-linear constraint.
研究了简化型内回归神经网络基于自适应梯度下降法的训练算法，并提出了一种基于简化型内回归神经网络的非线性动态数据校核新方法。
An adaptive gradient descent algorithm for training simplified internally recurrent networks (SIRN) is developed and a new method of reconciling nonlinear dynamic data based on SIRN is proposed.
本文对该算法中的线搜索进行了推广，提出了一种新的非线性共轭梯度算法并证明了其全局收敛性。
This paper presents a wide line search and gives a new conjugate gradient method, with global convergence.
本文研究非线性最优化中的超记忆梯度算法。
The PHD thesis is to study the super-memory gradient methods for optimization problems.
本文研究非线性最优化中的超记忆梯度算法。
The PHD thesis is to study the super-memory gradient methods for optimization problems.
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