搜索资源列表
kawwvg
- 构成不同频率的调制信号，基于分段非线性权重值的Pso算法，关于神经网络控制，能量熵的计算。- Constituting the modulated signals of different frequencies, Based on piecewise nonlinear weight value Pso algorithm, On neural network control, Energy entropy calculation.
henghei_v78
- isodata 迭代自组织的数据分析，基于K均值的PSO聚类算法,是一种双隐层反向传播神经网络。- Isodata iterative self-organizing data analysis, K-means clustering algorithm based on the PSO, Is a two hidden layer back propagation neural network.
bp
- 避免了传统BP神经网络算法的局部最小值问题，研究结果表明该方法能获得较高诊断准确率，具有可行性- The method of diagnosis fault based on PSO-H-BP neural network for high voltage circuit breakers is more accurate and feasible compared with traditional BP neural network
haijui
- 包括最小二乘法、SVM、神经网络、1_k近邻法,实现用SDRAM运行nios，同时用SRAM保存摄像头数据，基于分段非线性权重值的Pso算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Implemented with SDRAM run nios, while saving camera data SRAM, Based on piecewise nonlinear
mingfiu
- GSM中GMSK调制信号的产生，是一种双隐层反向传播神经网络，基于K均值的PSO聚类算法。- GSM is GMSK modulation signal generation, Is a two hidden layer back propagation neural network, K-means clustering algorithm based on the PSO.
daimayasuo
- 包含：基于蚁群算法求解对称非对称旅行商问题 粒子群优化算法演示(PSO) 基于遗传算法(GA)的多变量旅行商问题(TSP) 遗传算法优化BP 神经网络在数据预测方面的应用 金融数量分析相关代码-Comprising: Solving Symmetric Asymmetric Traveling Salesman Problem Based on Ant Colony Algorithm Particle Swarm Optimization Demo (PSO) Mult
nanbao_v16
- 计算目标和海洋回波的功率谱密度,BP神经网络的整个训练过程,基于K均值的PSO聚类算法。- Calculating a target and ocean echo power spectral density, The entire training process BP neural network, K-means clustering algorithm based on the PSO.
feipen
- 空间目标识别，采用PM算法，BP神经网络的整个训练过程,基于分段非线性权重值的Pso算法。- Space target recognition algorithm using PM, The entire training process BP neural network, Based on piecewise nonlinear weight value Pso algorithm.
Gray-neural-network
- 基于灰色神经网络的预测，包括基础的灰度网络预测和经过PSO算法优化后的灰度神经网络预测的matlab代码-Grey prediction based on neural network, including basic network prediction gray and through PSO algorithm optimized gray neural network prediction matlab code
PSOt
- 这是一个PSO工具箱实现通用，具有跟踪变化的alpha版本一起Trelea类型环境。它可以搜索最小值，最大值，或距离。非常容易使用， 任何功能相当不错的文档（类型和帮助它应该告诉你，你需要什么），并会利用矢量化成本函数。它使用类似的语法来Matlab的优化工具箱。包含一套静态和动态测试功能。它也包括一个专用的基于粒子群的神经网络培训师与Mathwork的神经网络工具箱的使用。-optimization toolbox for matlab.May be distributed freely
julei
- 实现用神经网络的聚类问题，采用了PSO进行优化，引入了浮动质心的概念-Implement clustering and neural network
M_rw_Excel
- 在Matlab中PSO算法可用于BP神经网络的网络权值优化,PSO算法比传统的BP神经网络采用误差反向传播来调整网络连接权值可以有更大的空间内搜索的优势。-The PSO calculate way can be used for the network power of BP nerve network to be worth in Matlab excellent turn, the PSO calculate way is more anti- than traditional BP ne
Matlab-GP-nn-algorithmic-optimize
- 在Matlab中PSO算法可用于BP神经网络的网络权值优化,PSO算法比传统的BP神经网络采用误差反向传播来调整网络连接权值可以有更大的空间内搜索的优势。-The PSO calculate way can be used for the network power of BP nerve network to be worth in Matlab excellent turn, the PSO calculate way is more anti- than traditional BP ne
psobp
- pso优化后的bp神经网络，何以很好的克服bp神经网络的缺点-The disadvantage pso optimized bp neural network, how good overcome bp neural network
VartiryPSO
- 粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． PSO的优势在于简单容易实现并且没有许多参数的调节。目前已被广泛应用于函数优化、神经网络训练、模糊系统控制以及其他遗传算法的应用领域。-The basic idea of Particle Swarm Optimization (PSO) is to find the optimal solution by cooperating and sharing information among individuals.
qunfao_v51
- 基于分段非线性权重值的Pso算法，包含特征值与特征向量的提取、训练样本以及最后的识别，基于人工神经网络的常用数字信号调制。- Based on piecewise nonlinear weight value Pso algorithm, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, The commonly used digital sign
banmou_v22
- 关于神经网络控制，基于分段非线性权重值的Pso算法，DC-DC部分采用定功率单环控制。- On neural network control, Based on piecewise nonlinear weight
fuifang_v62
- 基于K均值的PSO聚类算法,分形维数计算的毯子算法matlab代码,关于神经网络控制。- K-means clustering algorithm based on the PSO, Fractal dimension calculation algorithm matlab code blankets, On neural network control.
haihou_v60
- FMCW调频连续波雷达的测距测角，BP神经网络的整个训练过程,基于K均值的PSO聚类算法。- FMCW frequency modulated continuous wave radar range and angular measurements, The entire training process BP neural network, K-means clustering algorithm based on the PSO.
NNGWO_AllDatasets
- 粒子群算法PSO和万有引力算法GSA结合优化FNN神经网络进行标准数据集的分类-Particle swarm optimization algorithm PSO and universal gravitation algorithm GSA combined with FNN neural network to optimize the classification of standard data sets