搜索资源列表
BP(vb实现)
- BP神经网络,用vb写的,包含传统BP网络S型函数和传统BP网络ATN型函数-BP neural network, using vb written in the traditional BP network includes S-type function and the BP-function network ATN
bp神经网络Java实现
- bp神经网络的实现源码及应用例程。Java语言编写,安全,通用。
bp c#源码
- bp神经网络 c#源码,已通过测试
BPalgorithm
- bp神经网络算法,是用c语言实现的,比较简单,供初学者练手-bp neural network algorithm
85375514
- 基于BP神经网络人脸识别算法研究,利用的语言是VC-FaceDetectionforundergraduate
Bp
- BP网络实现建模,用户界面友好,展示出训练误差、回想误差、测试误差曲线-Bp net is used to model
BP
- bp网络 图像分类 能运行,针对不同的图片稍作调试即刻。-bpnet
Bp
- BP神经网络源代码,为广大朋友提供参考!可以解决分类及预测等方面的问题!-BP neural network source code
BP神经网络算法代码
- BP神经网络算法代码的C++源代码,亲试可用(BP neural network algorithm code C++ source code, pro test available)
BP神经网络用于非线性函数拟合
- BP神经网络用于非线性函数的拟合,效果不错,适合初学者。(BP neural network for nonlinear function fitting, the effect is good, suitable for beginners.)
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.)
BP
- BP神经网络的主程序,已经调试成功。其中传递函数可以自己随意选用,sigmoid,pureline等函数。训练函数也可以自己设置,trainlm,trainbr等等(Back propagation neural network.)
案例1 BP神经网络的数据分类-语音特征信号分类
- 前馈循环神经网络,用于处理语音识别,里面是matlab源代码,以及实例。学习神经网络算法很有帮助。(Feed forward recurrent neural network for speech recognition, which is the matlab source code, and an example. Learning neural network algorithms is very helpful.)
BP神经网络,支持向量机等用于风机故障诊断
- BP神经网络,支持向量机等用于风机故障诊断(BP Neural Network and support Vector Machine for Fan Fault diagnosis)
bp神经网络
- 运用bp神经网络建立预测模型,通过matlab实现未知数据的预测(The bp neural network is used to establish the prediction model and the unknown data is predicted by matlab.)
BP神经网络预测激光焊接数据
- 建立BP神经网络拟合曲面,实现激光焊接数据的预测(BP neural network mainly through 4 steps in the implementation of MATLAB, read file setting parameters, create a BP network, neural network training, neural network simulation. After the program, some basic parameters are set
BP神经网络与多项式拟合曲线
- BP神经网络与多项式拟合曲线,数据统计描述,神经网络模型,概率统计建模的理论和方法。(BP neural network and polynomial fitting curve, data statistical descr iption, neural network model, probability and statistics modeling theory and method.)
采用BP神经网络进行非线性预测
- 该代码包括单隐含层BP和双隐含层BP。建立基于BP神经网络的预测模型,对数据进行随机排列,选取训练样本和测试样本,训练样本训练网络,测试样本进行验证(The code includes single hidden layer BP and double hidden layer BP. Establish a prediction model based on BP neural network, arrange the data randomly, select training sample
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端,采用遗传算法寻优BP的初始权值和阈值,然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and
基于BP神经网络的模糊控制算法程序
- 通过BP神经网络对模糊规则的学习能跟好的控制,实现模糊PID的有效控制。(Through learning fuzzy rules by BP neural network, better control effect can be achieved.)