搜索资源列表
BPnet
- 本代码实现了神经网络的BP网络算法,应用MATLAB编写的,比较好的代码!
BPnet
- 应用MATLAB编写BP神经网络的程序,实现大气质量的预测,训练效果好,是很好的BP网络参考的例子-Application of BP Neural Network MATLAB program written to achieve air quality forecasting, training effect, is a good example of BP network reference
BPNET
- 结合Matlab的GUI和神经网络开发出来的界面-Combination of Matlab' s GUI and neural network developed interface
BPNet
- 改进神经网络用于电价预测,实例说明,数据和程序齐全。-Improve the neural network used for price forecasting, examples, data and complete the procedure.
bpnet
- bp神经网络算法程序,仿真逼近一个函数,内含详细注解,适合初学者。-it is a program of bp neural network algorithm ,its function is simulating approximation of a function. it contains detailed notes, and suitable for beginners.
BPnet
- BP神经网络实现函数优化的一个matlab实例-BP neural network is a function optimization matlab example
Bpnet
- BP网络的MATLAB工具箱的实现。。 ——Bpnet-BP network MATLAB toolbox implementation. .- Bpnet
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
bpnet
- 用MATLAB实现二层bp神经网络的计算。可以改变阈值和权值以改进算法,并可以将该方法推广到多层网络。-Using MATLAB to achieve the second floor bp neural network computing. Can change the threshold value and weight to improve the algorithm and the method can be extended to the multi-layer network.
bpnet
- 关于神经网络的MATLAB代码-bp net for MATLAB
BPNet
- 基于BP网络的曲面拟合,和BP网络仿真程序-BPnet
bpnet
- 这是一个MATLAB编写的m文件,主要简绍了神经网络在电力负荷预测中的应用-It is written in a MATLAB m file, mainly to heat the neural network load forecasting
bpnet
- Matlab的BP神经网络各种不同算法程序-Matlab' s neural network BP algorithm program different
bpnet
- 基本的matlab神经网络~包含建立数据库,建立初始化神经网络,对目标数据进行分析等-Basic matlab neural network ~ contains a database, create initialize neural networks, data analysis, the target ~ ~
matlab-BPnet-tools-
- 介绍matlab中神经网络工具箱的PDF说明书-Introduced in matlab neural network toolbox of PDF manuals
bpnet
- 基于Matlab开发的BP神经网络系统预测和参数辨识程序,程序简单方便易学-neural networks prediction
BPnet-and-sound
- 这个文件是基于matlab的BP神经网络对于语音信号的分辨的编程-This file is based on the matlab the BP neural network programming for the resolution of the speech signal
BPnet
- matlab实现的bp神经网络预测,数据已经有,可以直接替换,叠加次数还有步长可以自己设置。(matlab implements BP neural network prediction, the data is already in it, and the data can be directly replaced, the number of overlap, there are steps you can set yourself.)