关于算法分析的定理证明了这种混合算法对于紧致集内的权向量构成的任意连续函数能依概率1收敛于全局极小值。
It is shown that this algorithm ensures convergence to a global minimum with probability 1in a compact region of a weight vector space.
针对一类不可微优化问题，本文提出了一个新的算法—极大熵微粒群混合算法。
To solve a class of non-differentiable optimization problems, this paper proposed a new method called maximum-entropy particles swarm optimization algorithm.
基于输出层函数为线性函数的三层前馈神经网络，结合自适应步长和动量解耦的伪牛顿算法及迭代最小二乘法导出了一种混合算法。
On the basis of both adaptive BP algorithm and Newtons method, Quasi Newton algorithm with adaptive decoupled step and momentum (QNADSM) for feed-forward neural networks is derived.
从而进一步根据二者优势互补的特性，提出采用混合算法以提高算法的性能。
So further according to their property of advantage complementary, decided adopting mix algorithm with raise the performance of algorithm.
在遗传算法中嵌入一个梯度下降算子，使得混合算法既有较快的收敛性，又能以较大概率得到全局极值。
Through embedding a gradient descend operator into the generic algorithm, a hybrid algorithm is achieved with fast convergence and great probability for global optimization.
以MATLAB作为仿真平台，在分别实现LS和IFS算法模拟树的结构和叶片的基础上，实现了混合算法的模拟。
It takes MATLAB as testing platform, after simulating on the leaves and structure in IFS and LS respectively, it realizes the simulation in hybrid algorithm.
其次，在对工序任务之间的逻辑关系深入分析的基础上，提出一种基于过滤束算法思想与基本邻域搜索算法相结合的混合算法。
Secondly, based on the analysis of the relationship between the processing tasks, a hybrid algorithm combined the filtered beam search algorithm with the local search algorithm is proposed.
根据可靠度指标的几何意义，联合应用混沌算法和BFGS算法，提出了基于混沌混合算法的可靠度分析方法。
Based on the graphical implication of reliability index, applying chaos algorithm and BFGS algorithm, a new reliability analysis method on the basis of hybrid chaos algorithm was presented.
通过BP算法、梯度优化法和混合算法对相同实例网络权值和阈值的计算，验证了所提出的混合算法的有效性，实现了权值和阈值的快速准确计算。
Comparing mixed method with BP algorithm and terraced method, validity of the method was testified, which results in rapid computing of weights and thresholds.
综合考虑重建结果的质量和重建运算的时间，本文提出了一种新的算法混合算法。
In order to improve the quality of reconstruction images and reduce the computational time for SR-CT technique, a new arithmetic named mixed arithmetic is proposed in this paper.
仿真结果表明，在参数设置合理的前提下，相比遗传算法和拟牛顿法，该混合算法性能稳定，具有较快的定位速度和较高的定位精度。
Experimental results show that if the parameters are assumed reasonably, the hybrid algorithm has higher stability, localization rate and localization precision than GA and quasi-Newton method.
本文提出一个求解约束工程设计问题的新的混合算法—与可行基规则相结合的局部收缩微粒群算法。
This paper the hybrid local constriction particle swarm optimization (HLPSO) with a feasibility-based rule is proposed to solve constrained engineering design problems.
本文提出了以启发式方法和模拟退火算法相结合的混合算法，可用于带性能约束的布局优化设计问题。
A hybrid algorithm combined heuristic method and simulated annealing was presented in this paper for layout optimization with Performance constraints.
经验证，该混合算法可以显著提高遗传算法的运行效率和优化性能。
The results indicated the hybrid algorithm can improve significantly the efficiency of GA for solving nonlinear optimization.
实验结果显示，均值漂移算法分割结果对其参数变化较为敏感，而基于图模型的算法和混合算法则较为稳定。
Experiments' results show that the mean shift based algorithm is more sensitive than the graph based algorithm and the hybrid algorithm, which are very stable to parameters and different images.
实验结果显示，均值漂移算法分割结果对其参数变化较为敏感，而基于图模型的算法和混合算法则较为稳定。
Experiments' results show that the mean shift based algorithm is more sensitive than the graph based algorithm and the hybrid algorithm, which are very stable to parameters and different images.
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