搜索资源列表
QPSO 采用matlab语言描述的量子粒子群算法
- 采用matlab语言描述的量子粒子群算法，并附有一些测试函数-Using matlab language to describe the quantum particle swarm algorithm, along with some test function
qpso
- QPSO算法的MATLAB源码，给需要的人，希望斑竹给加点技术分-MATLAB algorithm QPSO source, give the necessary people, hoping to add points Chiloscyllium technical sub-
qpso
- 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。- In order to improve the detection rate for anomaly state and reduce the false positive rate for n
Path_Planning
- Online UAV path planning including online planning schedule, splane smoothing algorithm and QPSO algorithm
qpso
- 量子粒子群算法的matlab实现，有程序说明-Quantum particle swarm optimization algorithm matlab implementation, there is descr iption of the procedures
DeNosingBaseOnXiaoBo
- 一种改进的基于PCNN神经网络和QPSO粒子行为的PSO的图像滤波算法，也可以较好地去除高斯噪声-Improved PCNN-based neural network and PSO behavior QPSO particle image filtering algorithm can also be better to remove Gaussian noise
qpso
- k-中心与qpso算法的结合，从文档中读取对象数据，没有维限制。需要设定类别数，先由k-中心计算出各类中心，然后由qpso优化，得到聚类结果，并保存聚类信息。-algorithm for k-medians and qpso combination of object data read from the document, there is no dimension restrictions. Need to set the number of categories, first calcul
newkqpso
- 对k-medoids与qpso结合的算法进行改进。选择调用qpso优化，降低运行时间，提高算法的执行效率。-Pairs of k-medoids algorithm combined with the qpso improvements. Select call qpso optimization, reducing operating time and improve the efficiency of the implementation of the algorithm.
PSOQPSO
- 详细的关于PSO何QPSO的介绍，对粒子群算法的初学者有很好的帮助-He QPSO detailed presentation on the PSO, the PSO algorithm has a good help for beginners
qpso
- 采用基于量子粒子群算法来计算电力系统无功优化-Based on the quantum particle swarm algorithm to compute reactive power optimization
QPSO
- 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value
matlab
- 探讨了经典的粒子群优化算法，在此基础上，提出了量子粒子群算法（QPSO），该算法具有高效的全局搜索能力-Of the classical particle swarm optimization, on this basis, proposed a quantum particle swarm optimization (QPSO), the algorithm is efficient global search capability
QPSO
- 基于matlab的量子粒子群算法源代码，用于函数优化，供参考-Matlab quantum particle swarm algorithm source code for function optimization, for reference
Aqpsozipn
- 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。 -This paper presents a new method of network anomaly detection based on quantum particle swarm
sa-qpso
- 基于模拟退火算法的量子行为粒子群优化算法-Based on simulated annealing algorithm of particle swarm optimization algorithm
shishu-QPSO
- 实数编码QPSO算法对多维非线性Rosenbrock函数进行优化求解结果-The QPSO algorithm of real-coded multi-dimensional nonlinear Rosenbrock function optimization solutions results
qpso
- qpso 粒子群与支持向量机相结合的建模算法，-the qpso particle swarm optimization and support vector machine combined modeling algorithm,
qpso
- 参数寻优算法，基于pso进行改进的避免陷入局部最小值等的优化算法(Parameter optimization algorithm is improved based on PSO)
QPSO
- Quantum particle swarm algorithm with pdf of sun
qpso
- qpso的源码和相关注释，QPSO算法的MATLAB源码，给需要的人，(Global convergence of the PSO algorithm can be used for the development of intelligent computing)