次优化

多杆柔性关节机械手轨迹规划的次优化方法

A suboptimal approach to trajectory planning of multi link flexible joint robots

观测器与控制器的协调次优化设计方法

A Suboptimal Design Method Coordinating Observer with Controller

分别用改进的遗传算法和自适应BP算法对网络权值进行全局优化和局部二次优化。

The modified genetic algorithm and self-adaptive BP algorithm are applied in the global optimization and local secondary optimization .

Hotspot不会在完成一次优化后就停止对代码的改动。

Hotspot doesn 't stop profiling your code once is has completed applying an optimization .

该算法通过一种精度可控的次优化方法，解决了基于非精确状态延时带宽限制代价最小的QoS路由问题。

The premise-controlled sub-optimal algorithm can find delay-bandwidth constrained least cost route when only imprecise information available .

对于解耦后的系统，采用二次优化方法，通过Matlab仿真确定最优二次优化参数，实现对系统的最优控制。

Twice optimum approach is presented after decoupling and parameters are calculated by Matlab simulating to realize the system optimal control .

Hopfield网络是神经网络的一种重要形式，在求解有约束二次优化问题中有很好的应用。

Hopfield network is suitable for solving the quadratic constrained optimization problem .

这相对于在SQL包含确切值的查询而言得到的值是次优化的。

This can lead to a sub-optimal plan compared with one selected when the SQL includes the exact values .

b.采用滚动优化策略，而非全局一次优化，能及时弥补由于模型失配、干扰等因素引起的不确定性，鲁棒性较好。

B. By using receding horizontal optimization strategy , the uncertainty is compensated for model mismatch or disturbance existed .

本文依据半无穷维二次优化技术提出了一个设计平坦响应空域滤波器（SF）的新方法。

A new method for the design of spatial filters having flat response based on the semi-infinite optimization techniques is presented .

正如我们在本文讨论的，如果SQL语句中存在主机变量或参数标记，那么DB2优化器可能会选择一个次优化的存取计划。

As we 've discussed in this article , the DB2 optimizer may choose a sub-optimal access plan when there are host variables or parameter markers in the SQL statement .

综合两次优化的最优条件，亚硝酸还原酶的酶浓度为达到2139.2U／mL，比优化前高出58.06%，比一次优化后高出17.59%。

On the base of twice optimization , nitrite reductase enzyme concentration reached 2139.2 U / mL , which was 58.06 % higher than before , 17.59 % higher than the first optimization .

在选择的样本子空间内采用乘性规则直接求取Lagrange因子，而不是传统的二次优化方法；

In addition , instead of the traditional quadratic programming , multiplicative update is used to solve Lagrange multiplier in optimization the solution of support vec - tor .

该文基于半无穷维二次优化（SIQO）技术给出一个设计FIR数字滤波器的新方法。

This paper proposes a new method for the design of FIR filter by using semi infinite quadratic optimization ( SIQO ) techniques .

针对SIMO盲均衡，本文提出了四个基于带约束二次优化的新准则。

In this paper , we present four new criteria for SIMO Blind Equalization , which are based on a quadratic optimization with binary constraints .

提出了一种将PSpice的参数扫描分析和优化分析结合起来对电路进行最优化设计的新方法，即先用参数扫描分析实现电路的次优化设计，再用优化分析实现电路的最优化设计。

A novel method is proposed by concatenating parametric sweep analysis with optimizing analysis based on PSpice , Sub-optimization is realized by parametric sweep analysis , and then optimization is done by optimizing analysis .

在采用BP学习算法的多层感知器的情况下，采用单输出型方式，初始权值优化技术在有限的前几次优化中，取得较大的峰值的概率较大；

In this paper several conclusions are gained : In the condition of adopting multiplayer feed-forward neural network with one output ( called single output model below ) using BP algorithm , optimal weights initialization technology can gain bigger peak value within several times with great possibility .

此外，本文还将非线性约束条件引入盲周期平稳自适应波束形成算法，使得经二次优化后的R-CAB算法的输出SINR有了明显提高。

We introduce the nonlinear constrained condition into blind cyclic adaptive beamforming approach . The R-CAB approach can provide higher output SINR after second optimization .

我们利用Lasso模型将求解不适定的线性方程组问题转化为求解二次优化问题，并采用交替方向法迭代求解Lasso模型。

By the Lasso model , the ill-posed linear equation problem can be transferred into corresponding quadric optimization problem . It can be solved by the alternating direction method ( ADM ) .

Hopfield盲检测算法的机理是：先把盲检测问题转化成一个在字符集约束下的二次优化问题；然后，借助复数Hopfiel神经网络求解该优化问题。

The mechanism of Hopfield blind detection algorithms is that first a blind detection problem is transformed into a quadratic optimization problem with constraint of a finite integer set , and then the optimization problem is solved with a complex Hopfield neural network .

依据这一思想，本文提出基于蚁群聚类与蚁群优化结合的聚类算法，它先由改进的单蚁群聚类算法进行聚类，生成聚类中心，再由基于蚁群转移概率的K-means算法进行二次优化。

Motivated by the behavior , a novel combining algorithm based on ant-based clustering and ant colony optimization is put forward here . The cluster centers are formed by the improved single ant-based clustering algorithm , and then optimized by the K-means using ant transition probability .

宽带阵列处理器设计的半无穷维二次优化方法

Semi-lnfinite Quadratic Optimization Method for the Design of Broad-Band Array Processors

神经网络用于二次优化存在的问题及解决方法

Problems of Neural Networks in Quadratic Optimization and Their Solution

二次优化算法在多源信息融合中的应用

Application of Quadratic Optimization Method in the Multi-sensor Data Fusion

基于知识的弧焊机器人焊接参数二次优化

Second Optimizing of Welding Parameter for Arc Welding Robot Based on Knowledge

一类单容纯时滞系统二次优化控制

Twice optimum control for a kind of first order systems with dead-time

纯时滞系统的二次优化控制进展

Development of Twice Optimum Control for the System with Delay

基于凸壳和二次优化的三角网生成算法

Algorithm of Delaunay Triangulation Generation Based on Convex Shell and Twice Optimization

基于有限元仿真的铜材拉拔道次优化

Optimization of drawing passes of copper wires based on finite element simulation

求解线性约束二次优化问题的神经计算模型

A Neural Network Model for Solving Quadratic Optimization Problems with Linear Constraints