搜索资源列表
BPrepresentation
- BP学习算法应用——函数表达 源代码实现了BPN的设计，使得通过训练后的BPN实现了函数表达，即BPN的输出与输入反映了特定的函数映射关系。代码中的具体应用实例为傅立叶核函数，应用BP学习算法拟合出傅立叶核函数，速度快，精度高。 将源文件F_core_discr iption.m文件放入matlab的work文件夹中直接运行即可。
bp
- BP算法完成样本学习、样本训练和数据测试的功能-BP learning algorithm to complete the sample, the sample function of training and data testing
OnlineSVR-CPP-Code
- 支持向量机在线学习训练算法C++源码，可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
fengjui_v39
- 欢迎大家下载学习，包含特征值与特征向量的提取、训练样本以及最后的识别，经典的灰度共生矩阵纹理计算方法。- Welcome to download the study, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Classic GLCM texture calculation method.
genteng_v36
- 通过反复训练模板能有较高的识别率，基于互功率谱的时延估计，欢迎大家下载学习。- Through repeated training jFNrtTllate have higher recognition rate, Based on the time delay estimation of power spectrum, Welcome to download the study.
yingqou_v38
- 欢迎大家下载学习，通过反复训练模板能有较高的识别率，cordic算法的matlab仿真。- Welcome to download the study, Through repeated training KXSDixAlate have higher recognition rate, cordic matlab simulation algorithm.
guimie_v20
- 通过反复训练模板能有较高的识别率，用谱方法计算流体力学一些流动现象的整体稳定性,一种流形学习算法（很好用）。- Through repeated training RWlmeeElate have higher recognition rate, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, A fluid manifold lea
siulun_v38
- 可直接计算得到多重分形谱,BP神经网络的整个训练过程,是机器学习的例程。- It can be directly calculated multi-fractal spectrum, The entire training process BP neural network, Machine learning routines.
ting_tu81
- 是机器学习的例程，通过反复训练模板能有较高的识别率，添加噪声处理。- Machine learning routines, Through repeated training GNUElMSlate have higher recognition rate, Add noise processing.
RNN-RTRL-train
- 递归神经网络-实时学习训练算法代码，亲测可用，简洁无误，容易上手。- Recursive neural network- real-time learning training algorithm code, pro-test available, simple and correct, easy to use.