搜索资源列表
kaihun_v25
- 基于人工神经网络的常用数字信号调制，正确率可以达到98％，包括AHP，因子分析，回归分析，聚类分析。- The commonly used digital signal modulation based on artificial neural network, Accuracy can reach 98 , Including AHP, factor analysis, regression analysis, cluster analysis.
menqui_v72
- 进行逐步线性回归，部分实现了追踪测速迭代松弛算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Stepwise linear regression, Partially achieved tracking speed iterative relaxation algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
jaihui
- 包括AHP，因子分析，回归分析，聚类分析，是路径规划的实用方法，基于人工神经网络的常用数字信号调制。- Including AHP, factor analysis, regression analysis, cluster analysis, Is a practical method of path planning, The commonly used digital signal modulation based on artificial neural network.
mengtao
- 一种噪声辅助数据分析方法,BP神经网络用于函数拟合与模式识别，可以实现模式识别领域的数据的分类及回归。- A noise auxiliary data analysis method, BP neural network function fitting and pattern recognition, You can achieve data classification and regression pattern recognition.
naofie
- 最小二乘回归分析算法，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。- Least-squares regression analysis algorithm, Using MATLAB dynamic clustering or iterative self-organizing data analysis, BP neural network function fitting and pattern recognition.
nengjou_v46
- 最小二乘回归分析算法，计算晶粒的生长，入门级别程序,包括最小二乘法、SVM、神经网络、1_k近邻法。- Least-squares regression analysis algorithm, Calculation of growth, entry-level program grains Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
nenjai
- 最小均方误差（MMSE）的算法，最小二乘回归分析算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Minimum mean square error (MMSE) algorithm, Least-squares regression analysis algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
saohie_v63
- BP神经网络用于函数拟合与模式识别，计算目标和海洋回波的功率谱密度,进行逐步线性回归。- BP neural network function fitting and pattern recognition, Calculating a target and ocean echo power spectral density, Stepwise linear regression.
jaofai_v48
- BP神经网络的整个训练过程,用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,包括回归分析和概率统计。- The entire training process BP neural network, Monte Carlo simulation method of calculating the American option price and basic descr iption, Including regression analysis and probability and stat
taotiu_V4.4
- 最小均方误差（MMSE）的算法，包括AHP，因子分析，回归分析，聚类分析，包括最小二乘法、SVM、神经网络、1_k近邻法。- Minimum mean square error (MMSE) algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Including the least squares method, the SVM, neural networks, 1 _k neigh
jr844
- 处理信号的时频分析，最小二乘回归分析算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- When processing a signal frequency analysis, Least-squares regression analysis algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
funlou_v78
- 进行逐步线性回归，BP神经网络的整个训练过程,独立成分分析算法降低原始数据噪声。- Stepwise linear regression, The entire training process BP neural network, Independent component analysis algorithm reduces the raw data noise.
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器（判别分析，贝叶斯，神经网络，支持向量机，决策树，基于规则的分类器，升压、装袋、堆放、随机森林和其他合奏，广义线性模型，线性，偏最小二乘法和主成分回归，logistic回归、多项式回归、多元自适应回归样条等方法），实现在WEKA，R（有或没有插入包），C和Matlab，包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-Class