According to the analysis of simulation results compared with BP algorithm, this algorithm has the advantage of the fine stability, fast convergence speed and high precision.
通过与BP算法的仿真结果比较分析，发现该算法具有稳定性好，收敛速度快，预测精度高的特点。
The simulation and motor control show that the new algorithm has fast learning rate, good convergence properties and can overcome the defects of traditional PID algorithm.
仿真实验及在伺服电机转速控制中的应用表明，该算法具有较快的学习速度及良好的收敛性能，并有效地克服了传统PID算法的缺陷。
The ILS algorithm had the strength of accurate estimation of FPN, fast convergence rate and low computational complexity.
ILS算法具有噪音参量估计准确度高、收敛速度快和计算复杂度低等优点。
This algorithm is possessed of simple energy function formula, fast convergence speed, and invalid solutions can be avoided.
该算法具有简单的能量函数表达式，较快的收敛速度，可避免无效解。
The method is simple in algorithm, a few in computer memory need and fast in convergence.
本方法具有算法简单，占用计算机内存少，具有较快的收敛速度。
In the process of codebook design, traditional LBG algorithm owns the advantage of fast convergence, but it is easy to get the local optimal result and be influenced by initial codebook.
在矢量量化的码本设计过程中，经典的LBG算法收敛速度快，但极易陷入局部最优，且初始码本的生成对最佳码本的设计影响很大。
Based on adaptive LMS algorithms, the on line BP algorithm with fast convergence speed is presented.
在自适应LMS算法基础上，提出了在线BP训练算法、收敛速度快。
Simulation results show the DD-LLMS (decision Directed-LLMS) blind decision feedback equalization algorithm has better stability, fast convergence rate and good tracking ability.
仿真结果表明这种DD - LLMS盲判决反馈均衡算法具有很好的稳定性、较快的收敛速度和较好的跟踪性能。
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。
This algorithm has the advantages of fast convergence speed, small number of convergence and easy to get premature convergence.
该算法具有收敛速度快、迭代次数少且不易陷入不成熟收敛等优点。
The new algorithm, compared to the BP algorithm, has the fast learning rate and good convergence properties.
该算法有效地改进了神经元网络的学习收敛速度，取得了比常规BP算法更好的收敛性能和学习速度。
It consists of two-stage RLS algorithm which can on line be implemented, and has the fast convergence rate.
它由两段RLS算法组成，可在线实现，具有快的收敛速度。
The proposed algorithm has simple structure, fast convergence speed, but small stability maladjustment with the same computational complexity as NLMS.
该算法结构简单，收敛速度快，稳态失调小，计算量与NLMS算法相当。
Through the analysis of simulation results as compared with BP algorithm, this algorithm has the advantages of fine stability, fast convergence speed and high precision.
通过与BP算法的仿真结果比较分析，发现该算法稳定性好，收敛速度快，预测精度高。
Simulation results show that the proposed algorithm has better performances with low complexity, fast convergence and small steady residual error than the same algorithm.
计算机仿真表明，该算法实现简单，收敛效果好，稳态剩余误差小，其性能优于已有的一些同类算法。
This algorithm has the advantages of fast convergence speed, small mumber of convergence and not easy to get premature convergence.
该算法具有收敛速度快、迭代次数少且不易陷入不成熟收敛等特点。
A large number of simulations demonstrate that the algorithm has characteristics of nice cost performance, high reliability, fast convergence speed and low delay.
仿真实验结果表明本算法具有代价性能良好、可靠性高、收敛速度快、时延低的特点。
In the cases where the fast convergence and tracking behaviors are required, the LMS algorithm and the conventional fast Kalman algorithm are not suitable.
在要求快速收敛和跟踪的场合下，lms算法及常规的快速卡尔曼算法均不适用。
The algorithm optimizes the selecting form of the cluster head and gateway and operates with fast convergence and low cost.
该算法对簇头和网关的选取方式都进行了优化，收敛速度快，控制开销小。
The algorithm has not only the implicit parallelism, global convergence of POA and the intelligence of tabu search, but also the fast convergence of MSCOA.
该方法具有逐次优化算法的隐性并行性和收敛性，禁忌搜索的智能性和变尺度混沌优化方法的快速性。
Simulation shows that the learning algorithm has a fast convergence speed and good stability.
仿真表明，该学习算法收敛速度快、稳定性好。
The variable step-size affine projection algorithm attracts wide attention for its advantages of simple frame, fast convergence rate and so on.
变步长仿射投影算法因结构简单、收敛速度快等优点而得到广泛重视。
Least mean squares (LMS) algorithm was used in the training procedures. The merit of the algorithm is the fast convergence and it can be used for data analysis in laboratories.
在模型的训练过程中运用了最小均方算法，其优点是收敛速度很快，可以用于实验室数据处理。
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。
Experiment results showed the algorithm had fast convergence rate and excellent on-line classification performance.
结果表明，该算法有较快的收敛速度，网络的在线分类性能良好。
S-R algorithm has the advantage of accurate estimation of FPN, fast convergence rate and low computational complexity.
算法具有噪声参数估计精度高、收敛速度快和计算复杂度低等优点。
For increasing the speed of convergence of the signed regressor constant modulus algorithm (SRCMA), a fast SRCMA algorithm suitable for real BPSK signals is presented.
为了加快符号回归常数模算法(SRCMA)的收敛速度，本文提出了一种适合于BPS K信号的快速算法。
For increasing the speed of convergence of the signed regressor constant modulus algorithm (SRCMA), a fast SRCMA algorithm suitable for real BPSK signals is presented.
为了加快符号回归常数模算法(SRCMA)的收敛速度，本文提出了一种适合于BPS K信号的快速算法。
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