搜索资源列表
jesxkbjv
- 包括脚本文件和函数文件形式,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,保证准确无误,是学习通信的好帮手,包括最小二乘法、SVM、神经网络、1_k近邻法,LCMV优化设计阵列处理信号,相参脉冲串复调制信号,对信号进行频谱分析及滤波,采用的是脉冲对消法。- Including scr ipt files and function files in the form, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MU
Aver_min_Path
- 基于复杂网络求解大规模网络的平均最短路径-The average shortest path to solve complex network based on large-scale networks
code
- 复杂网络攻击策略,包括WS小世界和BA无标度网络的度大和度小攻击-Complex network attack strategies, including WS small-world and scale-free networks BA degree and a small degree of attack
langmui
- 相参脉冲串复调制信号,包括最小二乘法、SVM、神经网络、1_k近邻法,人脸识别中的光照处理方法。- Complex modulation coherent pulse train signal, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Face Recognition light treatment method.
paofou_v35
- 用于图像处理的独立分量分析,包括最小二乘法、SVM、神经网络、1_k近邻法,关于小波的matlab复合分析。- Independent component analysis for image processing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Matlab wavelet analysis on complex.
qangyang
- matlab编写的元胞自动机,关于小波的matlab复合分析,包括最小二乘法、SVM、神经网络、1_k近邻法。- matlab prepared cellular automata, Matlab wavelet analysis on complex, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
qs385
- 包括最小二乘法、SVM、神经网络、1_k近邻法,相关分析过程的matlab方法,关于小波的matlab复合分析。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Correlation analysis process matlab method, Matlab wavelet analysis on complex.
01271048
- This paper presents neural networks based approach for estimation of the control and operating parameters of Statcom used for improving voltage profile in a power system, which is emerging as a major problem in the day-to-day operation of stresse
BP神经网络的非线性系统建模——非线性函数拟合
- 在工程应用中经常会遇到一些复杂的非线性系统,这些系统状态方程复杂,难以用数学方 法准确建模。在这种情况下,可以建立 BP 神经网络表达这些非线性系统。该方法把未知系统看成是一个黑箱,首先用系统输入输出数据训练 BP 神经网络,使网络能够表达该未知函数,然后用训练好的 BP 神经网络预测系统输出 。(In engineering applications, some complicated nonlinear systems are often encountered. The equations
gxgsb
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Complex of three-point Gauss-lengend the Formula pi, Transceiver contains two client programs.
gfcdv
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Complex modulation coherent pulse train signal, Codec ldpc code implementatio.
复杂网络算法与应用源程序
- 复杂网络构建模型,可能有小世界模型和无标度网络模型(Most social, biological, and technological networks display substantial non-trivial topological features, with patterns of connection between their elements that are neither purely regular nor purely random. Such features in
CNN
- 卷积神经网络是近年发展起来,并引起广泛重视的一种高效识别方法。20世纪60年代,Hubel和Wiesel在研究猫脑皮层中用于局部敏感和方向选择的神经元时发现其独特的网络结构可以有效地降低反馈神经网络的复杂性,继而提出了卷积神经网络(Convolutional Neural Networks-简称CNN)。现在,CNN已经成为众多科学领域的研究热点之一,特别是在模式分类领域,由于该网络避免了对图像的复杂前期预处理,可以直接输入原始图像,因而得到了更为广泛的应用。(Convolution neura
Tensorflow 实战Google深度学习框架
- TensorFlow的一些样例代码。Tensor(张量)意味着N维数组,Flow(流)意味着基于数据流图的计算,TensorFlow为张量从流图的一端流动到另一端计算过程。TensorFlow是将复杂的数据结构传输至人工智能神经网中进行分析和处理过程的系统。(Tensor (Zhang Liang) means N dimension array. Flow (flow) means computation based on data flow graph. TensorFlow flows f
BP
- 该代码为基于BP神经网络的预测算法。对于复杂的非线性系统,难以用数学方法准确建模,在这种情况下,可以建立BP神经网络表达这些非线性系统。(The code is a prediction algorithm based on BP neural network. It is difficult for complex nonlinear systems to be modeled accurately by mathematical methods. In this case, BP neura
Tensorflow-Tutorial-master
- TensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统,其命名来源于本身的运行原理。Tensor(张量)意味着N维数组,Flow(流)意味着基于数据流图的计算,TensorFlow为张量从流图的一端流动到另一端计算过程。TensorFlow是将复杂的数据结构传输至人工智能神经网中进行分析和处理过程的系统。(TensorFlow is the second generation of artificial intelligence learning system dev
lesson51-WGAN实战
- 生成式对抗网络(GAN, Generative Adversarial Networks )是一种深度学习模型,是近年来复杂分布上无监督学习最具前景的方法之一。模型通过框架中(至少)两个模块:生成模型(Generative Model)和判别模型(Discriminative Model)的互相博弈学习产生相当好的输出。(Emergent against network (GAN, Generative Adversarial Networks) is a kind of deep learni
ELM_PSO-master
- 为了提升配网供电可靠性的预测精度!提出了基于主成分分析和粒子群优化极限学习机的配网供电可靠 性预测模型$ 从多方面分析影响供电可靠性的指标!利用主成分分析得到综合变量!实现对数据的降维$ 在此基 础上!构建人工神经网络并利用粒子群算法优化极限学习机的输入权值和阈值!完成对训练供电可靠性预测模型 的训练$ 以某大型电网的 ?L 个供电局样本 !% 种影响供电可靠性因素为例进行仿真分析!并将 E S R C E FQ C 4 G D算 法与 ! 种回归拟合算法对比!验证了该方法的有效性(It i