搜索资源列表
bp-solve
- BP网络是目前前馈式神经网络中应用最广泛的网络之一,实现BP算法训练神经网络完成XOR的分类问题。 设计要求: (1) 能够设置网络的输入节点数、隐节点数、网络层数、学习常数等各项参数; (2) 能够输入训练样本; (3) 实现BP算法的训练过程; (4) 实现训练过程的动态演示; (5) 训练完成后可输入测试数据进行测试。 -BP neural network is feedforward neural networks one of the most widel
BP-NN
- 通过遗传算法对神经网络的结构进行优化,避免参数选取的盲目性-Through genetic algorithms to optimize the structure of neural networks, to avoid the blindness of parameter selection
13-SVM-bp
- SVM神经网络中的参数优化---提升分类器性能,模型精度较高-SVM neural network classifier parameter optimization--- to enhance performance, high accuracy of the model
PSO-BP
- 自编程序,可以用于BP神经网络预测,利用PSO进行参数寻优,具有较好的效果-Self programming, can be used for BP neural network, using the PSO for parameter optimization, with good results
BP-CLASSIFY
- 主要是利用BP神经网络来进行语音信号的分析,提取语音信号的MFCC参数进行分类-Mainly using BP neural network to carry voice signals analysis, MFCC parameter extraction of speech signal classification
c-bp
- BP网络实现程序,可以改所需参数重新运行-BP network program, you can change the parameters required to re-run
BP-NN
- matlab神经网络算法优化实现,可自己调节各项参数-matlab neural network algorithm optimization to achieve, you can adjust the parameters of their own
BP
- BP神经网络MATLAB实例,参数训练好之后,通过传递函数来检验训练的效果。-BP nueral net. a good example, and it is tested then.
BP
- BP神经网络程序,能对相关数据进行参数寻优,进而优化系统性能-Application of BP neural network, can to parameter optimization of relevant data, and then optimize the system performance
BP
- BP神经网络 训练 参数设置、调整 运算-BP TRAIN
BP
- 基于神经的连杆衬套旋压神经网络优化程序,输入为旋压控制的基本工艺参数,输出为连杆衬套性能参数-Spinning rod bushing based neural network optimization procedures nerves enter basic process parameters for spin control, output for connecting rod bushing performance parameters
BP
- 本程序是基于BP神经网络的程序,详细的说明了各个参数及函数体的内容,值得下载。-This procedure is based on BP neural network program, a detailed descr iption of the contents of each parameter and the function body, it is worth the download.
CopulaEDA-BP
- 分布估计算法优秀硕士论文,详细介绍了算法的过程及参数选择,适合初学者学习该算法-Estimation of distribution algorithms outstanding master thesis, introduces in detail the process and parameter selection algorithm, suitable for beginners to learn the algorithm,
bp
- 函数的BP神经网络,实现输出,可以正确操作,更改参数可以使用-BP neural network, the realization of the function of output, can correct operation, change the parameters can be used
EPO-BP
- 外部参数正交化-人工神经网络,matlab源代码-EPO-ANN External parameters orthogonal neural network
FA-BP
- 萤火虫算法适用于各个方面的极值寻优,优化模型参数,提升模型精度。-Firefly algorithm is suitable for the optimization extreme of the various aspects of optimizing the model parameters, improve the model accuracy.
BP-C
- : 针对常规 PID 控制器不能在线修正参数以及模糊规则和率属函数对专家经验的依赖 性,提出了神经网络模糊自适应 PID 控制器,-Research on Fuzzy Adaptive PID Control Based on Neural Netowork
Genetic-algorithm-optimization-BP
- 用遗传算法优化BP神经网络参数的代码,里面有源码,是做项目用到的源程序。-Code optimization BP neural network parameters using genetic algorithms, which has source code, is used to do the project source.
BABP
- 由于BP神经网络易陷入局部最优,我们利用蝙蝠算法来优化BP的参数,以此找到最优的参数,并作为BP参数的初始值,用来做预测,效果很好!-Due to the BP neural network into local optimum easily, we use the bat algorithm to optimize the parameters of BP, to find the optimal parameters, and as the initial value of paramete
BP
- 基于BP神经网络的PID控制器结构,控制器由两部分组成:一是常规PID控制器,用以直接对对象进行闭环控制,且3个参数在线整定;二是神经网络NN,根据系统的运行状态,学习调整权系数,从而调整PID参数,达到某种性能指标的最优化。-基于BP神经网络的PID控制器结构,控制器由两部分组成:一是常规PID控制器,用以直接对PID controller structure BP neural network, the controller consists of two parts: First, a c