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Description: PSO算法具有快速收敛而且有很强的跳出局部最优从而找到全局最优点的能力，故可以用它来训练优化神经网络，此程序主要研究这个方面。-PSO algorithm is fast and has a strong convergence of jumping out of the local optimal thus find the most advantages of the overall capacity, it can be used to train the neural network optimization, this procedure major study this aspect.
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Size: 2486 |
Author: lt |
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Description: 我这里有一个基于C/C++环境下的模糊神经网络源程序，用于训练神经网络并可更改样本实现你所需的功能，希望和大家一起分享-I have here on a C/C under the FNN source, used to train the neural network may vary sample implementation of the function you need, and hope to share with everyone
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Size: 3072 |
Author: zhanya |
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Description: PSO算法具有快速收敛而且有很强的跳出局部最优从而找到全局最优点的能力，故可以用它来训练优化神经网络，此程序主要研究这个方面。-PSO algorithm is fast and has a strong convergence of jumping out of the local optimal thus find the most advantages of the overall capacity, it can be used to train the neural network optimization, this procedure major study this aspect.
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Size: 2048 |
Author: lt |
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Description: 此程序包是用粒子群算法来训练神经网络参数，只要打开demoPSOnet.m运行了，会出现动态的二维图-This package is used PSO to train neural network parameters, as long as the open demoPSOnet.m run, there will be a dynamic two-dimensional map
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Size: 23552 |
Author: 梁锦兆 |
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Description: 基于混沌扰动算法来解决pso算法早熟问题，并用二者结合来训练灰色预测模型参数-Perturbation algorithm based on chaotic PSO algorithm to solve the early problems and to train with a combination of both gray prediction model parameters
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Size: 3072 |
Author: 梁锦兆 |
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Description: This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.
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Size: 1024 |
Author: Mehran Ahmadlou |
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Description: This also a demo of the Particle Swarm Optimization to have a look on the PSO train
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Size: 1024 |
Author: valso |
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Description: 基于混沌扰动算法来解决pso算法早熟问题，并用二者结合来训练灰色预测模型参数-Perturbation algorithm based on chaotic algorithms to solve the pso early-maturing issues, and to use a combination of both to train the gray prediction model parameters
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Size: 3072 |
Author: yinjj |
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Description: pso for train fuzzy neural network PSO F-pso for train fuzzy neural network PSO FNN
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Size: 972800 |
Author: mehran |
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Description: 一个利用粒子群优化算法训练BP神经网络的程序，在matlab环境中，代码简便可行。-A particle swarm optimization algorithm is used to train the BP neural network program, in the MATLAB environment, the code is simple and feasible.
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Size: 48128 |
Author: GM |
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Description: matlab小波分析程序，保证准确无误，是学习通信的好帮手，可以广泛的应用于数据预测及数据分析,相参脉冲串复调制信号，gmcalab 快速广义的形态分量分析，详细画出了时域和频域的相关图，处理信号的时频分析，基于分段非线性权重值的Pso算法。- matlab wavelet analysis program, Ensure accurate communication is learning a good helper, Can be widely used in data analysis and forecast data, Complex modulation coherent pulse train signal, gmcalab fast generalized form component analysis, Correlation diagram shown in detail the time domain and frequency domain, When processing a signal frequency analysis, Based on piecewise nonlinear weight value Pso algorithm.
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Size: 9216 |
Author: cimctjnsa |
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Description: 使用起来非常方便，外文资料里面的源代码，IDW距离反比加权方法，LCMV优化设计阵列处理信号，随机调制信号下的模拟ppm，本科毕设要求参见标准测试模型，基于分段非线性权重值的Pso算法，相参脉冲串复调制信号。- Very convenient to use, Foreign materials inside the source code, IDW inverse distance weighting method, LCMV optimization design array signal processing, Random ppm modulated analog signal under Undergraduate complete set requirements refer to the standard test models, Based on piecewise nonlinear weight value Pso algorithm, Complex modulation coherent pulse train signal.
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Size: 6144 |
Author: yfntdec |
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Description: 供做算法研究人员参考，GSM中GMSK调制信号的产生，相参脉冲串复调制信号，基于分段非线性权重值的Pso算法，实现典型相关分析，从先验概率中采样，计算权重，可以广泛的应用于数据预测及数据分析,匹配追踪和正交匹配追踪。- Algorithm for researchers to do reference, GSM is GMSK modulation signal generation, Complex modulation coherent pulse train signal, Based on piecewise nonlinear weight value Pso algorithm, Achieve canonical correlation analysis, Sampling a priori probability, calculate the weight, Can be widely used in data analysis and forecast data, Matching Pursuit and orthogonal matching pursuit.
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Size: 13312 |
Author: xezmecths |
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Description: 供做算法研究人员参考，GSM中GMSK调制信号的产生，相参脉冲串复调制信号，基于分段非线性权重值的Pso算法，实现典型相关分析，从先验概率中采样，计算权重，可以广泛的应用于数据预测及数据分析,匹配追踪和正交匹配追踪。- Algorithm for researchers to do reference, GSM is GMSK modulation signal generation, Complex modulation coherent pulse train signal, Based on piecewise nonlinear weight value Pso algorithm, Achieve canonical correlation analysis, Sampling a priori probability, calculate the weight, Can be widely used in data analysis and forecast data, Matching Pursuit and orthogonal matching pursuit.
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Size: 10240 |
Author: xezmecths |
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Description: 用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。-Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS structure, and then using the genetic algorithm (GA), particle swarm optimization (PSO) to train ANFIS. This evolutionary training algorithm can be used to solve the nonlinear regression function approximation problem.
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Size: 21504 |
Author: 张贝 |
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Description: matlab程序运行时导入数据文件作为输入参数，基于K均值的PSO聚类算法,相参脉冲串复调制信号。- Import data files as input parameters matlab program is running, K-means clustering algorithm based on the PSO, Complex modulation coherent pulse train signal.
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Size: 6144 |
Author: funboukao |
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Description: BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)
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Size: 3072 |
Author: Katri |
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Description: 使用PSO和GSA融合算法，训练FNN参数，但是速度较慢，希望大家提些意见，谢谢。(Using PSO and GSA fusion algorithm to train FNN parameters, but the speed is slow. Hope you can make some comments. Thanks.)
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Size: 1024 |
Author: leisure666 |
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Description: this is using PSO to train ANN
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Size: 27648 |
Author: Don Joe |
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