搜索资源列表
bingliyuce
- 有关于matlab自组织竞争网络在模式分类中的应用程序(Application of the MATLAB self-organizing competitive network in pattern classification)
fenleiyuce
- matlab关于概率神经网络的分类预测应用程序(Matlab classification prediction applications on Probabilistic Neural Networks)
一元线性回归
- 包括基于矩阵运算计算回归系数并添加趋势线,基于多项式拟合计算回归系数并添加趋势线,借助回归分析程序包计算回归系数并估计检验统计量,及预测和各统计量。(Including the regression coefficient and add the trend line calculation based on matrix computation, polynomial fitting to calculate the regression coefficient and add the tre
timeseries
- MATLAB在时间序列建模预测及程序代码(MATLAB modeling, prediction and program code in time series)
CUMCM-2017-problem-C
- c题,利用模糊矩阵求解最大最小值,并利用神经网络来进行训练,来预测和分析待测值。(C problem, using fuzzy matrix to solve maximum and minimum)
pls
- 偏最小二乘回归,里边有若干相关因素,分别输入历史数据,并与待预测量进行偏最小二乘回归,拟合出方程,从而进行预测(Partial least squares regression)
ycgmln - 副本
- 使用Matlab软件进行灰色模型的预测分析,具体的源代码都包含。(Grey model to predict the analysis using matlab software, the specific source code is included.)
bp2
- 用MATLAB 实现对不同种类的饮料或者果汁的分类,通过训练学习,再进行预测,可以得到分类的正确率(The classification of different kinds of drinks or fruit juice is realized by MATLAB, and the correct rate of classification can be obtained by training, learning and forecasting)
LSSVMlabv1_8
- 最小二乘支持向量机matlab工具箱,可用于分类回归预测等。(Least squares support vector machine)
交通流元胞自动机Matlab源代码(460762)
- 利用元胞自动机模型对道路车流量进行高精度的模拟预测,(The model of cellular automata is used to predict the flow of road vehicles with high precision.)
Population
- 人口预测回归的matlab程序(matlab直接运行即可)(Population forecast regression matlab program)
machine learning-matlab
- 机器学习是一门强大的语言,可以拟合、仿真、预测 各类数据之间的非线性映射,并揭示彼此间的联系(Machine learning is a powerful language that can fit, simulate, and predict the nonlinear mapping of various data and reveal the relationship between each other.)
ARMA
- 采用MATLAB实现arma时间序列的建模与预报(Modeling and forecasting of ARMA implementation time series)
BP_TrafficFlow
- 交通量预测方法 matlab代码运用BP网络神经,有效预测交通量(BP-TRAFFIC FLOW FORECAST)
Forecast and Stock_timeSeries
- 利用灰色预测公司的利润;基于时间序列的股票价格预测(Profit from the grey Forecast Ltd; stock price prediction based on time series)
基于MATLAB的供热负荷调节方法
- 运行优化的相关算法和电力负荷预测的程序,有全套的数据和输出结果(Relevant algorithm of operation optimization and program of power load forecasting)
kenston
- 将光谱差异较大的样品选入建模集,其余相近的选入预测集(The samples with large spectral differences are selected into the modeling set, and the rest of the selected entry prediction sets)
DropOut深度网络
- 深度神经网络在测试时面对如此大的网络是很难克服过拟合问题的。 Dropout能够很好地解决这个问题。通过阻止特征检测器的共同作用来提高神经网络的性能。这种方法的关键步骤在于训练时随机丢失网络的节点单元包括与之连接的网络权值。在训练的时候,Dropout方法可以使得网络变得更为简单紧凑。在测试阶段,通过Dropout训练得到的网络能够更准确地预测网络的输出。这种方式有效的减少了网络的过拟合问题,并且比其他正则化的方法有了更明显的提升。 本文通过一个简单的实验来比较使用Dropout方法前后网络
chapter6
- 灰色理论认为系统的行为现象尽管是朦胧的,数据是复杂的,但它毕竟是有序的,是有整体功能的。灰数的生成,就是从杂乱中寻找出规律。同时,灰色理论建立的是生成数据模型,不是原始数据模型,因此,灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。(Gray theory believes that although the behavior of the system is awkward and the data is complex, it is, after all, ord
1111
- MATLAB实现隐马尔科夫模型预测,这里举例说明,示例代码。(MATLAB---HMM prodict)