搜索资源列表
PID-control-based-BP
- 用一个多层前向神经网络,采用反向传播算法依据控制要求实时输出Kp、Ki、Kd,依次作为PID控制器的实时参数,代替传统PID参数靠经验的人工整定和工程整定,以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, K
bp
- bp神经网络车牌识别,用于识别 二值化以后的图像,解压后把 char char1 目录放到d盘下-bp neural network license plate recognition, later used to identify the binary image after extracting the char char1 disk under the directory into the d
voice-feature-signal-classifiy
- 用matlab编写BP神经网络实现数据信号分类,本例为语音信号分类-BP neural network with matlab write data signal classification, classification of speech signal in this case
ANN-BP
- BP神经网络算法,原数据与结果均已给出,望可以提供帮助-BP neural network algorithm, the original data and the results have been given, hope can help
bp
- BP神经网络的手写数字识别 识别数字为0~-BP neural network recognition of handwritten numeral recognition numbers from 0 to 99
BPPSOSA
- matlab中基于模拟退火法的粒子群BP神经网络计算程序-matlab simulated annealing method based on BP neural network computing PSO program
ga-bp
- 用遗传算法来改善BP神经网络模型,可以很好的用于最优化、预测等问题的求解-Using genetic algorithms to improve the BP neural network model, can be very good for optimization, forecasting and other problem solving
bp
- 介绍基于神经网路的故障诊断不错的文章,主要采用bp神经网络-Introduction of fault diagnosis based on neural networks a good article, mainly bp neural network
Matlab-svm-BP-compare
- 支持向量机和BP神经网络虽然都可以用来做非线性回归,但它们所基于的理论基础不同,回归的机理也不相同。支持向量机基于结构风险最小化理论,普遍认为其泛化能力要比神经网络的强。为了验证这种观点,本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块,仿真结果证实,支持向量机做非线性回归不仅泛化能力强于BP网络,而且能避免神经网络的固有缺陷——训练结果不稳定。-SVM and BP neural networks, although non-linear regr
MATLABsource
- 利用PSO算法优化BP神经网络的MATLAB源码,绝对优良的源码-PSO algorithm to optimize the use of BP neural network, MATLAB source code, source code is absolutely fine
ANN
- 编写BP神经网络系统,可适应多节点输入输出的人工神经网络训练,即可以自由定义输入节点的个数,隐层节点个数,输出节点个数以及样本的个数。-Preparation of BP neural network system can be adapted to multi-node input and output of the artificial neural network training, that is free to define the number of input nodes, hid
neural-network-of-multi-sensor
- 基于模糊神经网络的多传感器信息融合,提出了一种简单、有效的分区算法来确定障碍物的距离和方位。采用BP神经网络对障碍物环境进行分类以及模式识别,为移动机器人的导航和避障提供了一种有效的方法。-Fuzzy neural network based multi-sensor information fusion, we propose a simple and effective algorithm to determine the partition barrier distance and dir
bp-neural-network-c
- 用c语言实现神经网络,可以进行训练,任意输入,任意输出,可以参考一下-use C language realize neural network,it can be trained
PSO-bp((matlab
- bp神经网络,希望大家多多交流,谢谢!非常感谢大家的帮助!-bp neural network, I hope you interact more, thank you! Thank you very much for your help!
BP
- 神经网络中的 BP 网络,数据分类-语音特征信号分类,matlab程序-BP neural network in the network, data classification- voice characteristic signal classification, matlab program
simulation-of-BP-neural-network
- BP神经网路的matlab仿真,该程序用matlab演示了BP神经网络的学习机制。-simulation of Back Propagation neural network
BP-neural-network_c
- 基于C开发的三个隐层神经网络,输出权值、阈值文件,训练样本文件,提供如下函数: 1)初始化权、阈值子程序; 2)第m个学习样本输入子程序; 3)第m个样本教师信号子程序; 4)隐层各单元输入、输出值子程序; 5)输出层各单元输入、输出值子程序; 6)输出层至隐层的一般化误差子程序; 7)隐层至输入层的一般化误差子程序; 8)输出层至第三隐层的权值调整、输出层阈值调整计算子程序; 9)第三隐层至第二隐层的权值调整、第三隐层阈值调整计算子程序; 10)第二隐层
simulation-contrast-of-BP-and-RBF
- BP神经网络和RBF神经网络的仿真比较,附有程序代码。-BP neural network and RBF neural network simulation compared with a program code.
BP-netual-networks
- BP神经网络的非线性函数拟合 用Matlab实现非线性函数的拟合y=x1^2+x2^2-BP neural network using Matlab achieve non-linear function fitting nonlinear function fitting y = x1 ^ 2+ x2 ^ 2
BP-neural-network
- 分类用神经网络算法,可用于多分类问题,训练速度快,分类准确-Classification with neural network algorithm