搜索资源列表
fanmang
- 基于混沌的模拟退火算法,小波包分析提取振动信号中的特征频率,BP神经网络的整个训练过程。- Chaos-based simulated annealing algorithm, Wavelet packet analysis to extract vibration signal characteristic frequency, The entire training process BP neural network.
silencer666
- 用遗传算法优化神经网络来压缩图像 关于混沌的一些设计-Optimization of neural network to compress the image of some of the design on Chaos Genetic Algorithm
yaojui
- 混沌的判断指标Lyapunov指数计算,虚拟力的无线传感网络覆盖,是小学期课程设计的题目。- Chaos indicator for Lyapunov index calculation, Virtual power wireless sensor network coverage, Is the topic of the elementary school stage curriculum design.
kaofao_v44
- 双向PCS控制仿真,BP神经网络用于函数拟合与模式识别,混沌的判断指标Lyapunov指数计算。- Two-way PCS control simulation, BP neural network function fitting and pattern recognition, Chaos indicator for Lyapunov index calculation.
bingming_v87
- 高斯白噪声的生成程序,使用混沌与分形分析的例程,BP神经网络用于函数拟合与模式识别。- Gaussian white noise generator, Use Chaos and fractal analysis routines, BP neural network function fitting and pattern recognition.
senghing_v19
- 包含位置式PID算法、积分分离式PID,基于混沌的模拟退火算法,BP神经网络的整个训练过程。- It contains positional PID algorithm, integral separate PID, Chaos-based simulated annealing algorithm, The entire training process BP neural network.
gaimang_v18
- BP神经网络的整个训练过程,使用混沌与分形分析的例程,实现了图像的灰度化并进一步用于视频监视控。- The entire training process BP neural network, Use Chaos and fractal analysis routines, Achieve a grayscale image and further control for video surveillance.
huigan_v39
- 虚拟力的无线传感网络覆盖,混沌的判断指标Lyapunov指数计算,最大信噪比的独立分量分析算法。- Virtual power wireless sensor network coverage, Chaos indicator for Lyapunov index calculation, SNR largest independent component analysis algorithm.
siuqui_V4.8
- 计算加权加速度,BP神经网络的整个训练过程,基于混沌的模拟退火算法。- Weighted acceleration, The entire training process BP neural network, Chaos-based simulated annealing algorithm.
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校:海军工程大学,船舶与海洋工程(水声工程),博士 精通方向:信号处理,图像处理,人工智能,模式识别,支持向量机,深度学习,机器学习,机器视觉,群体智能,非线性与混沌,Matlab与VC++混编,大数据 擅长技能:团队激励,战略规划,企业文化,组织架构,C,C++,Matlab,OpenCV,并行计算,图像处理,智能视觉,卷积神经网络,人脸检测,行
fiufou
- 粒子图像分割及匹配均为自行编制的子例程,基于混沌的模拟退火算法,基于人工神经网络的常用数字信号调制。- Particle image segmentation and matching subroutines themselves are prepared, Chaos-based simulated annealing algorithm, The commonly used digital signal modulation based on artificial neural networ
jangtei_V1.3
- 基于欧几里得距离的聚类分析,采用加权网络中节点强度和权重都是幂率分布的模型,混沌的判断指标Lyapunov指数计算。- Clustering analysis based on Euclidean distance, Using weighted model nodes in the network strength and weight are power law distribution, Chaos indicator for Lyapunov index calculation.
mankie
- 虚拟力的无线传感网络覆盖,基于混沌的模拟退火算法,基于matlab GUI界面设计。- Virtual power wireless sensor network coverage, Chaos-based simulated annealing algorithm, Based on matlab GUI interface design.
Prediction_RBF
- 混沌时间序列预测(chaotic time series prediction) RBF神经网络一步预测 - \Prediction_RBF\Main_RBF.m RBF神经网络多步预测 - \Prediction_RBF\Main_RBF_MultiStepPred.m Volterra级数一步预测 - \Prediction_Volterra\Main_Volterra.m Volterra级数多步预测 - \Prediction_Volterra\Main_Volterra
gengfan
- 采用加权网络中节点强度和权重都是幂率分布的模型,仿真效果非常好,使用混沌与分形分析的例程。- Using weighted model nodes in the network strength and weight are power law distribution, Simulation of the effect is very good, Use Chaos and fractal analysis routines.
hougeng_v33
- 虚拟力的无线传感网络覆盖,非常适合计算机视觉方面的研究使用,基于混沌的模拟退火算法。- Virtual power wireless sensor network coverage, Very suitable for the study using computer vision, Chaos-based simulated annealing algorithm.
qingfan_v86
- 使用混沌与分形分析的例程,有信道编码,调制,信道估计等,关于神经网络控制。- Use Chaos and fractal analysis routines, Channel coding, modulation, channel estimation, On neural network control.
case1
- 混沌微型机电系统自适应反步法控制技术,采用RBF神经网络逼近未知非线性项-Adaptive backstepping control of chaotic micro-electro-mechanical system
faipiu_V7.5
- 基于人工神经网络的常用数字信号调制,基于混沌的模拟退火算法,可实现对二维数据的聚类。- The commonly used digital signal modulation based on artificial neural network, Chaos-based simulated annealing algorithm, Can realize the two-dimensional data clustering.
haihie_v85
- 本程序的性能已经达到较高水平,基于混沌的模拟退火算法,包括最小二乘法、SVM、神经网络、1_k近邻法。- The performance of the program has reached a high level, Chaos-based simulated annealing algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.