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[matlabpsotb-beta-0.3

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Platform: | Size: 61440 | Author: 陈厚合 | Hits:

[AI-NN-PRqpso

Description: 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, can be optimized for fast multi-dimensional functions, not easily trapped into local optimal values.
Platform: | Size: 1024 | Author: 李志远 | Hits:

[Special Effectsqpso-svm

Description: 本程序用量子行为的粒子群算法训练支持向量机,并用IRIS数据验证了该方法的有效性-This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method
Platform: | Size: 13312 | Author: 李慧 | Hits:

[AI-NN-PRqpso

Description: 量子粒子群算法 mathlab,专门使用量子理论来提高粒子群算法的效率,经实验表明,运算准确性和效率有很大提升-Quantum Particle Swarm Optimization mathlab, specifically the use of quantum theory to improve the efficiency of particle swarm optimization, the experiments show that the accuracy and efficiency of computing has a great upgrade
Platform: | Size: 4096 | Author: jason | Hits:

[matlabqpso

Description: 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 normal state in the network anomaly detection, a novel method of network anomaly detection based on constructing wavelet neural network (WNN) using quantum-behaved particle swarm optimization (QPSO) algorithm was proposed. The WNN was trained by QPSO.
Platform: | Size: 1024 | Author: liang | Hits:

[AI-NN-PRqpso

Description: 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 description of the procedures
Platform: | Size: 1024 | Author: logor | Hits:

[Graph programqpso

Description: 基于量子行为的粒子群算法的MATLAB的源程序,已测试可以用-Based on the quantum behavior of particle swarm optimization MATLAB source, have been tested can be! !
Platform: | Size: 1024 | Author: 吴涛 | Hits:

[matlabqpso

Description: Quantum Particle Swarm Optimization matlab
Platform: | Size: 1024 | Author: fantasia | Hits:

[AI-NN-PRQPSO

Description: 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
Platform: | Size: 1024 | Author: 王兰彬 | Hits:

[Mathimatics-Numerical algorithmsmatlab

Description: 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
Platform: | Size: 3072 | Author: 陈颖 | Hits:

[matlabQPSO

Description: 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
Platform: | Size: 2048 | Author: 游侠 | Hits:

[matlabMOQPSO

Description: 这是一个正交交叉的量子行为粒子群算法的matlab程序(MOQPSO),用户可以根据需求自己更换目标函数-this is an multi-collapse Orthogonal cross quantum-behaved particle swarm optimization program of matlab,the user can revise the Object function for your need.
Platform: | Size: 2048 | Author: 袁永福 | Hits:

[Graph programqpso

Description: 基于量子行为的粒子群算法的MATLAB的源程序,已测试可以用-Based on the quantum behavior of particle swarm optimization MATLAB source, have been tested can be! !
Platform: | Size: 1024 | Author: rinMa | Hits:

[matlabqpso-pid-pso-matlab-src

Description: pso-pid量子粒子群算法qpso的matlab代码以及pid控制器在matlab中的仿真程序-Pso- pid quantum particle swarm optimization (qpso matlab code and pid controller in matlab simulation program
Platform: | Size: 12288 | Author: zhouzhou | Hits:

[matlabqpso

Description: 一个关于量子粒子群优化算法的matlab程序,有助于学习和理解该算法的原理。-The principle of a quantum particle swarm optimization algorithm matlab program, contribute to learning and understanding of the algorithm
Platform: | Size: 15360 | Author: 1121261428 | Hits:

[matlabDesktop

Description: matlab下的量子粒子群算法源代码,添加算例即可运行(Source code of quantum particle swarm optimization in MATLAB)
Platform: | Size: 7248896 | Author: dramaticcc | Hits:

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