粒子群优化聚类算法具有参数简单，收敛快等优势，但也有局部极值问题。
PSO clustering algorithm is known to have simple parameters and fast convergence, but there are also local optimal problems.
最大膛压点的确定是内弹道零维模型求解的一个重要环节，传统的优选方法存在着可能陷入局部极值点的问题。
Determination of the bore maxi-pressure point is an important link in solution of internal ballistics zero dimension model. Traditional optimizing methods probably have some problems of local pole.
然而，结构优化问题相当困难，因为其势能曲面上局部极值的数量非常多而且随着体系尺寸呈指数增长。
However, the structural optimization problem is notoriously difficult because the number of local minima tends to grow exponentially with system size.
在分析经验模式分解存在问题的基础上，改进了经验模式分解的算法，提出用窗口平均法取代原极值包络法来计算局部均值。
Based on the analysis of some problems in the method of empirical mode decomposition, the algorithm of empirical mode decomposition is improved in this paper.
复杂系统可靠度最优分配问题是一个具有多局部极值的非线性的优化问题。
An optimal apportionment of reliability problem of complex system is a nonlinear optimization problem with a large number of local extreme values.
粒子群优化算法应用于多极值点函数优化时，存在陷入局部极小点和搜寻效率低的问题。
Particle Swarm optimization (PSO) algorithm is a population-based global optimization algorithm, but it is easy to be trapped into local minima in optimizing multimodal function.
同时针对神经网络易于陷入局部极值、结构难以确定和泛化能力较差的缺点，引入了能很好解决小样本、非线性和高维数问题的支持向量回归机来进行油气田开发指标的预测；
The method of support vector regression which can well resolve the problem with the insufficient swatch, nonlinear and high dimension is introduction to predict the development index of gas-field.
同时针对神经网络易于陷入局部极值、结构难以确定和泛化能力较差的缺点，引入了能很好解决小样本、非线性和高维数问题的支持向量回归机来进行油气田开发指标的预测；
The method of support vector regression which can well resolve the problem with the insufficient swatch, nonlinear and high dimension is introduction to predict the development index of gas-field.
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