搜索资源列表
111111111
- 为保证网络信息传输的安全性,提出一种视频图像加密方法。该方法引入混沌系统中的Logistic映射和 Baker映射,结合H·264视频压缩编码特点,利用Baker映射对DCT (Discrete Cosine Transform)变换量化后 的块进行位置置乱, -In order to ensure the safety of information transmission network, and a video image encryption method. This met
11111111111456
- 为保证网络信息传输的安全性,提出一种视频图像加密方法。该方法引入混沌系统中的Logistic映射和 Baker映射,结合H·264视频压缩编码特点,利用Baker映射对DCT (Discrete Cosine Transform)变换量化后 的块进行位置置乱, -In order to ensure the safety of information transmission network, and a video image encryption method. This met
chaoticsecureimagedata
- 通过细胞神经网络混沌系统对图像数据进行加密和解密 -Through the cellular neural networks for image data of chaotic systems for encryption and decryption
lc_2
- 一种分析混沌信号的多重分形谱的简单程序,尤其分析网络流量中尤为有效
prediction_one_step
- 混沌序列与一步预测值, 一步预测RBF神经网络-Chaotic sequence with step pre-
Prediction
- 混沌时间序列预测神经网络一步预测神经网络多步预测-chaotic time series predictionMain_RBF_MultiStepPred.m
Prediction_RBF
- 混沌预测和神经网络的预测程序,使用matlab编程得到的预测图形- Prediction program predicted chaos and neural network, using matlab programming was forecast graphics
forecasting-model-BP
- 基于BP神经网络的混沌时间序列预测模型研究-Chaotic time series BP neural network forecasting model based on
CNN
- 细胞神经网络,简称为CNN,由于其能够产生混沌吸引子,而被广泛应用于加密系统中,本代码为画出CNN的超混沌吸引子。-Neural networks, referred to as CNN, due to its ability to generate chaotic attractor, and is widely used encryption system, the code for drawing CNN super chaotic attractors.
guiyun_V0.3
- 各种资源分配算法实现,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。- Various resource allocation algorithm, Use Chaos and fractal analysis routines, BP neural network function fitting and pattern recognition.
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.
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
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.
yun-iu77
- 基于人工神经网络的常用数字信号调制,从先验概率中采样,计算权重,基于混沌的模拟退火算法。- The commonly used digital signal modulation based on artificial neural network, Sampling a priori probability, calculate the weight, Chaos-based simulated annealing algorithm.
gui-gv06
- 包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合,使用混沌与分形分析的例程。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S evidence theory data fusion, Use Chaos and fractal analysis routines.
kan_ss28
- 基于混沌的模拟退火算法,数值分析的EULER法,是一种双隐层反向传播神经网络。- Chaos-based simulated annealing algorithm, EULER numerical analysis method, Is a two hidden layer back propagation neural network.
owtimized-bnstruction
- 应用遗传算法与类神经网络于混沌系统之辨识,推荐给大家(Using genetic algorithm and neural network in the recognition of chaotic system, recommend to everyone)
BP神经网络预测算法MATLAB源程序
- BP神经网络预测算法MATLAB源程序,用于混沌时间序列预测。(BP neural network prediction algorithm MATLAB source code for chaotic time series prediction.)
智能优化算法
- 优化技术是一种以数学为基础,用于求解各种工程问题优化解的应用技术。作为一个重要的科学分支,它一直受到人们的广泛重视,并在诸多工程领域得到迅速推广和应用,如系统控制、人工智能、模式识别、生产调度、VLSI技术和计算机工程等。鉴于实际工程问题的复杂性、约束性、非线性、多极小、建模困难等特点,寻求一种适合于大规模并行且具有智能特征的算法已成为有关学科的一个主要研究目标和引人注目的研究方向。 20世纪80年代以来,一些新颖的优化算法,如人工神经网络、混沌、遗传算法、进化。(Optimization te
ESN-master
- 运用回声状态网络进行混沌时间序列预测,测试集为MackeyGlass_t17(Time series prediction using echo state network)