资源列表
BP神经网络的非线性系统建模_非线性函数拟合
- BP神经网络构建根据拟合非线性函数特点确定BP神经网络结构,由于该非线性函数有两个输入参数,一个输出参数,所以BP神经网络结构为2—5—1,即输入层有2个节点,隐含层有5个节点,输出层有1个节点。 从非线性函数中随机得到2000组输入输出数据,从中随机选择1900组作为训练数据,用于网络训练,100组作为测试数据,用于测试网络的拟合性能。(Construction of BP neural network for nonlinear function fitting structure acc
用MATLAB实现遗传算法程序.pdf
- 遗传算法的基本步骤如下: 1)在一定编码方案下,随机产生一个初始种群; 2)用相应的解码方法,将编码后的个体转换成问 题空间的决策变量,并求得个体的适应值; 3)按照个体适应值的大小,从种群中选出适应值 较大的一些个体构成交配池; 4)由交叉和变异这两个遗传算子对交配池中的 个体进行操作,并形成新一代的种群; 5)反复执行步骤2-4,直至满足收敛判据为止。(The basic steps of the genetic algorithm are as follows: 1) u
免疫优化算法在物流配送中心选址中的应用
- 免疫算法是受生物免疫系统的启发而推出的一种新型的智能搜索算法,是一种确定性和随机性选择相结合并具有"勘探"与"开采"能力的启发式随机搜索算法。 算法主要的步骤: (1)抗原识别与初始抗体产生。 (2)抗体评价 (3)免疫操作 免疫算法的特点: (1)全局搜索能力 (2)多样性保持机制 (3)鲁棒性强 (4)并行分布式搜索机制(A new intelligent i
Dijkstra最短路算法
- Dijkstra最短路算法Matlab实现(Dijkstra shortest path algorithm Matlab implementation)
matlab2012b_std
- dat file for the activation of Mathworks Matlab 2012b
BP NN jiaochayanzheng
- 基于改进的BP神经网络的算法,并结合了交叉验证算法,划分为训练集与测试集进行改进。(Based on the improved BP neural network algorithm and the cross validation algorithm, the training set and test set are improved.)
emd+HHT1
- EMD分解HHT变换,通过对实测波进行EMD分解为IMF,生成幅值,相位谱,边际谱(EMD decomposes the HHT transform, and generates the amplitude, phase spectrum and marginal spectrum by decomposing the measured wave into IMF by EMD)
hht+EMD2
- EMD分解HHT变换,通过对实测波进行EMD分解为IMF,生成幅值,相位谱,瞬时频率,三维时频谱(EMD decomposes the HHT transform and generates amplitude, phase spectrum, instantaneous frequency and three-dimensional time-frequency spectrum by decomposing the measured wave into IMF by EMD)
hht+EMD3
- HHT变换,通过对实测波进行EMD分解为IMF,生成幅值,相位谱,瞬时频率,三维时频谱(EMD decomposes the HHT transform and generates amplitude, phase spectrum, instantaneous frequency and three-dimensional time-frequency spectrum by decomposing the measured wave into IMF by EMD)
HHT+EMD4
- HHT变换,EMD分解通过对实测波进行EMD分解为IMF,生成幅值,相位谱,瞬时频率,三维时频谱(EMD decomposes the HHT transform and generates amplitude, phase spectrum, instantaneous frequency and three-dimensional time-frequency spectrum by decomposing the measured wave into IMF by EMD)
Hilbert-Huang5
- EMD分解HHT变换,通过对实测波进行EMD分解为IMF,相位谱,瞬时频率,三维时频谱(EMD decomposes the HHT transform and generates amplitude, phase spectrum, instantaneous frequency and three-dimensional time-frequency spectrum by decomposing the measured wave into IMF by EMD)
Multivariate_GARCH
- GARCH模型的一些介绍,其中包括各种绘图(Some of the GARCH models are introduced, including various drawings)