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gbjrkrqx
- 使用matlab实现智能预测控制算法，BP神经网络用于函数拟合与模式识别，分析了该信号的时域、频域、倒谱，循环谱等,基于负熵最大的独立分量分析，GPS和INS组合导航程序，验证可用。- Use matlab intelligent predictive control algorithm, BP neural network function fitting and pattern recognition, Analysis of the signal time domain, frequenc
zkgazjpz
- ICA（主分量分析）算法和程序，BP神经网络用于函数拟合与模式识别，一种噪声辅助数据分析方法,DC-DC部分采用定功率单环控制，最小二乘回归分析算法，使用matlab实现智能预测控制算法，数值分析的EULER法，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- ICA (Principal Component Analysis) algorithm and procedures, BP neural network function fitting and pattern recognit
kipvcspn
- 旋转机械二维全息谱计算，使用matlab实现智能预测控制算法，验证可用，大学数值分析算法，课程设计时编写的matlab程序代码，利用matlab GUI实现的串口编程例子，是一种双隐层反向传播神经网络。 - Rotating machinery 2-d holographic spectrum calculation, Use matlab intelligent predictive control algorithm, Verification is available, Univ
hnbyns
- 实现了对10个数字音的识别程序BP神经网络用于函数拟合与模式识别，相控阵天线的方向图（切比雪夫加权），使用matlab实现智能预测控制算法。- Realization of 10 digital audio recognition program BP neural network function fitting and pattern recognition, Phased array antenna pattern (Chebyshev weights), Use matlab intel
lingyie_v38
- 包括最小二乘法、SVM、神经网络、1_k近邻法,从先验概率中采样，计算权重，使用matlab实现智能预测控制算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Sampling a priori probability, calculate the weight, Use matlab intelligent predictive control algorithm.
MPC
- 基于神经网络的非线性预测控制：其中使用的神经网络预测模型和神经网络PID控制器-Nonlinear predictive control based on Neural Network: neural network predictive model and neural network PID controller
shj3
- 神经网络的实际应用，具有预测，学习能力，有实用价值。-The practical application of neural networks, predictive, learning ability, practical value.
paotiu_v46
- 使用matlab实现智能预测控制算法，BP神经网络的整个训练过程,算法优化非常好，几乎没有循环。- Use matlab intelligent predictive control algorithm, The entire training process BP neural network, Algorithm optimization is very good, almost no circulation.
LVQ
- bp神经网络进行仿真分类，人类乳腺癌的发生率预测与分析。-bp neural network simulation classify human breast cancer incidence and predictive analysis.
chapter_matlab
- 根据BP神经网络理论和Adaboost，在MATLAB中编程实现BP_Adaboost算法的公司财务预测建模-According to BP neural network theory and Adaboost, in MATLAB programming BP_Adaboost predictive modeling algorithm finance company
penglie_v45
- BP神经网络用于函数拟合与模式识别，从先验概率中采样，计算权重，使用matlab实现智能预测控制算法。- BP neural network function fitting and pattern recognition, Sampling a priori probability, calculate the weight, Use matlab intelligent predictive control algorithm.
panpan_v60
- 使用matlab实现智能预测控制算法，MIMO OFDM matlab仿真,基于人工神经网络的常用数字信号调制。- Use matlab intelligent predictive control algorithm, MIMO OFDM matlab simulation, The commonly used digital signal modulation based on artificial neural network.
SVM
- 支持向量机神经网络的信息粒化时序回归预测代码案列，代码易于修改-Support Vector Machines Neural Network Information granulated series regression predictive code text column, easy to modify the code
fengkun_v24
- 包括最小二乘法、SVM、神经网络、1_k近邻法,使用matlab实现智能预测控制算法，包含优化类的几个简单示例程序。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Use matlab intelligent predictive control algorithm, Optimization class contains several simple sample pro
svm-regression-to-predicte
- 案例14 SVM神经网络的回归预测分析 -上证开盘指数预测-Case 14 SVM regression neural network predictive analysis - Shanghai Composite Index opened forecast
GAMETHODSEID
- 遗传算法及粒子群算法优化的BP神经网络，用于多输入多输出的神经网络预测模型 -Network Predictive Genetic Algorithm and Particle Swarm Optimization based BP neural network for multiple-input multiple-output neural
gunhang
- music高阶谱分析算法，BP神经网络的整个训练过程,使用matlab实现智能预测控制算法。- music higher order spectral analysis algorithm, The entire training process BP neural network, Use matlab intelligent predictive control algorithm.
qounou_v18
- 使用matlab实现智能预测控制算法，完整的图像处理课设，包含所有源代码，汽车图像，包括最小二乘法、SVM、神经网络、1_k近邻法。- Use matlab intelligent predictive control algorithm, Complete class-based image processing, contains all of the source code, auto image, Including the least squares method, the SVM,
ym250
- 计算十字叉丝的在不同距离的衍射图像,关于神经网络控制，使用matlab实现智能预测控制算法。- Calculation crosshairs diffraction image at different distances, On neural network control, Use matlab intelligent predictive control algorithm.
dentrol
- Neural network control toolbox, including optimal control, feedback linearization control, predictive control