搜索资源列表
GM-model
- GM（1，1）模型的MATLAB源代码2-GM model
GM
- matlab灰色预测的通用算法程序，很好的套用模版-universal algorithm for Matlab gray prediction procedure, apply the template
GM
- 用MATLAB实现灰色预测GM(1，1)模型程序段-Gray forecasting GM (1,1) model block using MATLAB
Grey-prediction[GM(1
- 灰色预测[GM(1,1) ]MATLAB程序(已经测试运行)-Gray prediction [GM (1,1)] MATLAB program (test run)
matlab
- 灰色处理，预测模型，GM(1,1)一次累加-Gray processing, prediction model
huiseyuce-GM(1-1)
- 这是一个用matlab软件基于灰色系统理论编写的预测程序，改程序的通用性很高-This is a Matlab software written based on the gray system theory prediction program, the high versatility of the reform program
GM(1_1
- GM(1,1)模型的matlab编码，实用型-GM (1,1) model matlab coding, practical
gm
- 灰色系统关于灰色绝对关联、灰色关联及灰色GM(1,1)的matlab代码-Matlab code gray Grey Absolute Correlation gray relational gray GM (1,1)
GM(1-N)
- GM(1，N)模型的MATLAB实现,轻松实现GM模型的操作，且易于实现，很方便-MATLAB implementation of GM (1, N) model
GM
- 灰色模型在很多行业领域内得到广泛的应用，程序采用MATLAB编程，可实现GM(1,1)预测-Gray model has been widely used in many industries, the program using MATLAB programming, GM (1,1) prediction
GM(1-1)model
- 邓聚龙老先生著名的GM灰预测模型。可以在Matlab中实现。-Deng Julong gentleman famous gray prediction model GM. Implemented in Matlab.
GM
- 灰色模型GM（1，1），Matlab程序编写的，有数据读的方法-grey model GM(1,1)
Untitled2
- 灰色GM(1,1)模型matlab计算代码-matlab gm (1, 1) process researchers hope to help the gray system
GM
- 最基础的灰色预测的matlab源程序，可以直接运行-Grey prediction program by matlab
GM(1-1)
- 邓聚龙教授提出的灰色系统理论是以部分信息已知，部分信息未知的小样本，贫信息不确定的系统为研究对象，通过开发部分已知的信息来提取有价值的信息，实现对系统运行规律的正确认识和确切描述，并据以进行科学预测。灰色预测有很多模型，如GM（1,1）模型，GM（2,1）模型和GM（1，N）模型。利用matlab可以实现运算的简化-Grey system theory proposed by Professor Deng Julong is part of the information is known, s
GM(1-1)
- 灰度预测的matlab代码。是GM(1，1)模型的代码-gray forecast+matlab code+GM(1，1)
gm
- 灰色预测模型的matlab算法实现，可以进行较为长期的预测-use matlab to solve gm problem
GM
- matlab中GM算法的实现，适合于数学建模人员使用-The realization of GM algorithm in MATLAB
GM
- 带残差模型灰色预测模型.GM(1,1),残差,matlab-The grey prediction model with residual error model
CENTER-GM(1-1)
- 改变背景值的灰色预测，根据实际情况通过不断调整matlab程序中的m值，达到更高的精度。-Change the grey prediction of background value, through the continuous adjustment of the m value in the matlab program according to the actual situation, to achieve higher accuracy.