搜索资源列表
nn
- 有关BP算法权值修正的过程 用matlab编程 还可以用于神经预测-The BP algorithm weight correction process with the MATLAB programming can also be used for neural prediction
DLBP
- 一种改进的BP算法,基于动量梯度的,非常经典,实际可用-An improved BP algorithm based on the momentum gradient, very classic, the actual available
mypid
- BP PID 控制器程序,基于simulink-a program of BPPID controler based on simulink
Extraction
- 基于RBF、BP、ANFIS人工神经网络的胎儿心电信号提取MATLAB源代码-MATLAB codes of Extraction of FECG signal based on RBF and BP and ANFIS Neural Network
Face-recognition-method
- 基于PCA 和BP 神经网络的人脸识别方法是针对 PCA 方法中存在的高维数问题和它对未训 练过的样本识别率低的缺点而提出的。该方法在预处理的基础上,利用粗糙集对 PCA 降维处理后的人脸特征进行约简,提取其中分类能力强的特征,实现在识别精度不变的情况下,有效的去除冗余信息;然后将约简后的属性输入到神经网络进行规则提取,利用神经网络非线性映射和并行处理的特点,增强对人脸图像识别的泛化能力。实验证明,使用该方法在识别率上有一定的提高-Face recognition method based
identity01
- BP辨识-bp identify,,,,,,,,,,,,,,,,,
net_nikongzhi
- BP神经网络设计自适应逆控制器,实现无模型控制-BP neural network design adaptive inverse controller, model control
BPtiduxiajiangfa
- BP神经网络的训练算法,使用梯度下降法,通俗易懂-BP neural network training algorithm using the gradient descent method, easy to understand
BP1
- 置信传播算法用于无环图时的误码率的检验。-this program is a detection of the error bit when the BP algorithm used in the cycle free graph.
BP2
- 置信传播算法用于无环图时的误码率的检验。-this program is a detection of the BP algorithm error bit when it is used in cycle graphs.
BER-for-2-transmit-1-receive-Alamouti-STBC-for-BP
- Its a MATLAB code-Its a MATLAB code.....
bp
- 基于置信传播算法的信道均衡器性能研究仿真-belief propagation
BPneural-network
- 一些自己做的BP神经网络的例子,用来交流学习-Example of a BP neural network for the exchange of learning
BPfen
- BP二分类法的一个作业,用matlab编程实现,可以下载-BP classification of a job, Matlab programming, you can download to look at
bp_sx150s
- models the BP SX 150S PV module
road_yunliang
- 本代码是利用matlab实现车辆的bp预测-This code is to use matlab to achieve vehicle bp forecasts
bp_sez_classify
- BP网络实现性别识别。BP是自己实现的,没有调用工具箱。-recoginise sex by BP in matlab,which is emplemented myself
bpsin
- 设计BP神经网络输入、输出和隐含层,拟合输出正弦曲线-Design of BP neural network input, output and hidden layer, and fitting the output sine curve
BP
- 针对深圳市2001-2010年非户籍人口数,利用灰色模型对未来十年深圳市非户籍人口数进行预测。-Shenzhen number of non-household population in 2001-2010, the gray model to predict the Shenzhen City in the next decade the number of non-permanent population.
Gray-Model
- 已知1991-2008年的值: 5.99 6.09 6.15 6.23 6.20 6.40 6.50 6.70 6.90 7.00 7.10 7.30 7.50 7.60 7.70 7.90 8.10 8.30 用GM(1,1)灰色模型和bp神经网络预测一直到2050年的值,用matlab实现-1991-2008 known value: 5.99 6.09 6.15 6.23 6.2