Based on the analysis, the optimization procedure is simplified and fast and efficient algorithm is given.
基于这种分析，简化了优化问题的求解过程，给出一种快速有效的直接解析算法。
For raising the efficiency of the reversible logic automatic born and optimization, we put forward the similar template technique and a type of fast algorithm.
为了提高可逆逻辑自动生成与优化的效率，我们提出了类模板技术和一类快速算法。
This paper presents an improved fast simulated annealing algorithm based on the analysis on deterministic method and simulated annealing algorithm for solving global optimization problems.
基于对求解全局优化问题的确定性方法和模拟退火算法的分析，文中提出了一种改进的快速模拟退火算法。
A new algorithm of swarm intelligence, Particle swarm Optimization (PSO), which is an algorithm of simple implementation and fast convergence with few parameters, is introduced in this paper.
介绍了一种新的集群智能算法-微粒群算法(PSO)，该算法具有实现简单、参数少且收敛快的特点。
In each level, a hybrid algorithm composed of a modern optimization method and a fast algorithm is developed.
将不同的现代优化方法应用于其中，可以得到不同组合的双层算法。
A fast stochastic global optimization algorithm, particle group optimization algorithm, was used for training the fuzzy neural network.
模糊神经网络的学习算法采用的是快速的粒子群优化算法。
The algorithm converts the complex optimization problem to several iterations, each of which requires only several simple Fast Fourier Transformations and shrinkage operations.
该算法将复杂的优化问题转化为几十次简单的迭代加以解决，每次迭代只需几次快速傅里叶变换和收缩操作即可。
The proposed adaptive optimization method has been validated using several analytic function tests. Numerical results show that the algorithm has the property of fast global searching.
利用解析函数对上述自适应优化方法进行了验证，算例结果证明了该算法的全局搜索和快速寻优能力。
Through embedding a gradient descend operator into the generic algorithm, a hybrid algorithm is achieved with fast convergence and great probability for global optimization.
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。
Aiming at the large mount of calculation of the traditional algorithms for polarimetric power optimization of random target in arbitrary channel, a fast algorithm is proposed in this article.
针对现有分布式目标通道最优极化算法存在运算量偏大等问题，以算法的实用性为目的，在理论分析的基础上提出一种求解分布式目标通道最优极化的快速算法。
In this paper, a kind of variable metric fast second order nonlinear optimization algorithm is proposed, where a second order interpolating method is used in the optimization of learning rate.
神经网络的辨识采用变尺度二阶快速学习算法，利用二阶插值法来优化搜索学习速率。
Finally, the algorithm was transplanted onto the hardware system, then the optimization policy was applied, and fast embedded face recognition system was implemented.
最后，在设计的硬件系统上进行算法移植，详细介绍了系统的优化方案，实现了嵌入式快速人脸识别系统的研制。
Finally, the algorithm was transplanted onto the hardware system, then the optimization policy was applied, and fast embedded face recognition system was implemented.
最后，在设计的硬件系统上进行算法移植，详细介绍了系统的优化方案，实现了嵌入式快速人脸识别系统的研制。
应用推荐