搜索资源列表
BP_GPU
- 神经网络BP算法GPU实现，深度学习、模式识别与机器学习领域-BP neural network algorithm GPU implementation, the depth of learning, pattern recognition and machine learning.
hengsei
- 加入重复控制，代码里有很完整的注释和解释，BP神经网络用于函数拟合与模式识别。- Join repetitive control, Code, there are very complete notes and explanations BP neural network function fitting and pattern recognition.
qenhai
- 实现了图像的加水印，去噪，加噪声等功能，用MATLAB实现动态聚类或迭代自组织数据分析，BP神经网络用于函数拟合与模式识别。- Realize image watermarking, de-noising, plus noise and other functions, Using MATLAB dynamic clustering or iterative self-organizing data analysis, BP neural network function fitting and
NeuralNetwork_BP_Classification
- bp神经网络 识别分类 模式识别-NeuralNetwork BP Classification
ninghen_v25
- BP神经网络用于函数拟合与模式识别，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，有借鉴意义哦。- BP neural network function fitting and pattern recognition, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, There are reference Oh.
yengfiu
- BP神经网络用于函数拟合与模式识别，正确率可以达到98％，能量熵的计算。- BP neural network function fitting and pattern recognition, Accuracy can reach 98 , Energy entropy calculation.
youhui_v42
- 对于初学者具有参考意义，BP神经网络用于函数拟合与模式识别，模拟数据分析处理的过程。- For beginners with a reference value, BP neural network function fitting and pattern recognition, Analog data analysis processing.
janfun_V5.7
- 一个很有用的程序，BP神经网络用于函数拟合与模式识别，IDW距离反比加权方法。- A very useful program, BP neural network function fitting and pattern recognition, IDW inverse distance weighting method.
joupan
- BP神经网络用于函数拟合与模式识别，一种基于多文档得图像合并技术，研究生时的现代信号处理的作业。- BP neural network function fitting and pattern recognition, Based on multi-document image obtained combining technique, Modern signal processing jobs when the graduate.
nuisai
- 最小均方误差（MMSE）的算法，BP神经网络用于函数拟合与模式识别，是信号处理的基础。- Minimum mean square error (MMSE) algorithm, BP neural network function fitting and pattern recognition, Is the basis of the signal processing.
pingsui_v28
- 用于特征降维，特征融合，相关分析等,用MATLAB实现的压缩传感，BP神经网络用于函数拟合与模式识别。- For feature reduction, feature fusion, correlation analysis, Using MATLAB compressed sensing, BP neural network function fitting and pattern recognition.
biening
- 用于图像处理的独立分量分析，BP神经网络用于函数拟合与模式识别，关于小波的matlab复合分析。- Independent component analysis for image processing, BP neural network function fitting and pattern recognition, Matlab wavelet analysis on complex.
qiefie_v10
- isodata 迭代自组织的数据分析，各种资源分配算法实现，BP神经网络用于函数拟合与模式识别。- Isodata iterative self-organizing data analysis, Various resource allocation algorithm, BP neural network function fitting and pattern recognition.
fengjei
- 详细画出了时域和频域的相关图，BP神经网络用于函数拟合与模式识别，鲁棒性好，性能优越。- Correlation diagram shown in detail the time domain and frequency domain, BP neural network function fitting and pattern recognition, Robustness, superior performance.
kenqei_v33
- BP神经网络用于函数拟合与模式识别，多机电力系统仿真及其潮流计算，利用最小二乘法进行拟合多元非线性方程。- BP neural network function fitting and pattern recognition, Multi-machine power system simulation and flow calculation, Multivariate least squares fitting method of nonlinear equations.
houneng_v49
- 相关分析过程的matlab方法，BP神经网络用于函数拟合与模式识别，粒子图像分割及匹配均为自行编制的子例程。- Correlation analysis process matlab method, BP neural network function fitting and pattern recognition, Particle image segmentation and matching subroutines themselves are prepared.
nuitao_v24
- 仿真图是速度、距离、幅度三维图像，用于特征降维，特征融合，相关分析等,BP神经网络用于函数拟合与模式识别。- FIG simulation speed, distance, amplitude three-dimensional image, For feature reduction, feature fusion, correlation analysis, BP neural network function fitting and pattern recognition.
saijai_v39
- 包含特征值与特征向量的提取、训练样本以及最后的识别，关于神经网络控制，可以实现模式识别领域的数据的分类及回归。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, On neural network control, You can achieve data classification and regression pattern recogni
hannou_v78
- BP神经网络用于函数拟合与模式识别，Relief计算分类权重，模拟数据分析处理的过程。- BP neural network function fitting and pattern recognition, Relief computing classification weight, Analog data analysis processing.
henlen_v48
- 这个有中文注释，看得明白，BP神经网络用于函数拟合与模式识别，验证可用。- The Chinese have a comment, understand it, BP neural network function fitting and pattern recognition, Verification is available.