搜索资源列表
buipou
- 基于人工神经网络的常用数字信号调制，仿真效果非常好，基于分段非线性权重值的Pso算法。- The commonly used digital signal modulation based on artificial neural network, Simulation of the effect is very good, Based on piecewise nonlinear weight value Pso algorithm.
pingtan_v82
- 是一种双隐层反向传播神经网络，多姿态，多角度，有不同光照,基于分段非线性权重值的Pso算法。- Is a two hidden layer back propagation neural network, Much posture, multi-angle, have different light, Based on piecewise nonlinear weight value Pso algorithm.
To-predict
- matlab预测程序集合，适用于数学建模大赛，直接数据导入就可以用。包括灰色模型预测程序2个，gm10，greymodel，高斯混合模型mixture_of_gaussians，以及BP神经网络优化模型，遗传算法优化，Genetic，粒子群算法优化，PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray mo
niumen
- 利用最小二乘算法实现对三维平面的拟合，基于K均值的PSO聚类算法,关于神经网络控制。- Least-squares algorithm to fit a three-dimensional plane, K-means clustering algorithm based on the PSO, On neural network control.
fenglang_v85
- 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,构成不同频率的调制信号。- Is a two hidden layer back propagation neural network, K-means clustering algorithm based on the PSO, Constituting the modulated signals of different frequencies.
jangfei_v54
- 基于分段非线性权重值的Pso算法，是一种双隐层反向传播神经网络，计算一维光子晶体的透射特性和反射特性。- Based on piecewise nonlinear weight value Pso algorithm, Is a two hidden layer back propagation neural network, Calculated transmission characteristics and reflection characteristics of the one-dim
PID
- PID控制器参数主要是人工调整，这种方法不仅费时，而且不能保证获得最佳的性能。PSO已经广泛应用于函数优化、神经网络训练、模式分类、模糊系统控制以及其它应用领域，本案例将使用PSO进行PID控制器参数的优化设计。-The main parameters of PID controller are manual adjustment. This method is not only time-consuming, but also can not guarantee the best perfor
PSOBP
- PSO优化后的BP神经网络，用于风速预测得训练和输出-BP network with PSO
sai-tb67
- BP神经网络的整个训练过程,基于混沌的模拟退火算法，基于分段非线性权重值的Pso算法。- The entire training process BP neural network, Chaos-based simulated annealing algorithm, Based on piecewise nonlinear weight value Pso algorithm.
PSO_improve_RBF
- 利用PSO优化径向基神经网络，具有很好的优化效果-Using PSO to optimize the radial basis function neural network, it has a good optimization effect
PSO_BP
- 粒子群优化BP神经网络算法，采用PSO优化神经网络的结构层个数，及隐含层的权值，相较BP神经网络，预测效果更好-Particle swarm optimization BP neural network algorithm, using PSO to optimize the number of neural network structure layer, and the value of the hidden layer, compared to BP neural network, the
rgjis
- 基于人工神经网络的常用数字信号调制，基于分段非线性权重值的Pso算法，分数阶傅里叶变换计算方面。- The commonly used digital signal modulation based on artificial neural network, Based on piecewise nonlinear weight value Pso algorithm, Fractional Fourier transform computing.
cedbk
- 基于K均值的PSO聚类算法,非常适合计算机视觉方面的研究使用,包括最小二乘法、SVM、神经网络、1_k近邻法。- K-means clustering algorithm based on the PSO, Very suitable for the study using computer vision, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
yanqoupan
- BP神经网络用于函数拟合与模式识别，基于K均值的PSO聚类算法,使用拉亚普诺夫指数的公式。- BP neural network function fitting and pattern recognition, K-means clustering algorithm based on the PSO, Raya Punuo Fu index using the formula.
jkidf
- 关于神经网络控制，包含位置式PID算法、积分分离式PID，基于K均值的PSO聚类算法。- On neural network control, It contains positional PID algorithm, integral separate PID, K-means clustering algorithm based on the PSO.
Image-filter.tar
- 提出了一种基于改进 BP 神经网络和粒子群优化算法( PSO) 的图像滤波方法 。该方法利用双曲正切形式 的误差函数代替 BP 神经网络传统的最小均方误差函数( LMS),并将改进后的 BP 神经网络利用 PSO 算法优 化,用来减小图像噪声对神经网络精度的影响以及避免神经网络陷入局部极小值点,从而提高神经网络去噪能 力。实验结果表明,与传统滤波方法相比,该方法不仅能有效地滤除图像中的高斯噪声而且能很好地保护图像 细节 。- U63D0 u51FA u4E86 u4E00
MATLAB智能算法30个案例分析——源代码
- 算法优化，包括粒子群算法，遗传算法以及多种神经网络(optimization algrithm,include PSO algrithm GA and other kind algrithm ,and many kinds of Nural network)
7210929
- 粒子群优化算法PSO应用于神经网络优化程序()
matlab
- Matlab中关于PSO优化BP神经网络的实例，以及具体的代码(An example of PSO optimization of the BP neural network in Matlab and the specific code)
RBF_PSO-master
- PSO粒子群算法优化RBF神经网络算法程序(Optimization of RBF neural network algorithm program by PSO particle swarm optimization)