Description: 运用最小二乘法对数据进行拟合，内容包括1. 1.运用matlab自带的程序对最小二乘法数据拟合 2.自己编程对最小二乘法数据拟合3.对非线性曲线拟合4.运用神经网络对实验数据进行拟合
-Using least squares fit of the data, including 1.1. Using matlab own procedures for least squares data fitting 2. Their own programming on the method of least squares data fitting 3. Nonlinear curve fitting 4. the use of neural networks to fit the experimental data Platform: |
Size: 176128 |
Author:帅英琦 |
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Description: matlab编程，实现灰色预测模型,基于当前已有的数据，用来预测未来一段时间内的发展趋势，对于线性发展趋势拟合情况很好，对于非线性预测差一点。-matlab programming, gray prediction model based on the current available data to predict future trends over time, the linear trends fit in good condition, almost nonlinear prediction. Platform: |
Size: 1024 |
Author:muchu |
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Description: 利用最小二乘算法实现对三维平面的拟合，利用最小二乘法进行拟合多元非线性方程，课程设计时编写的matlab程序代码。- Least-squares algorithm to fit a three-dimensional plane, Multivariate least squares fitting method of nonlinear equations, Course designed to prepare the matlab program code. Platform: |
Size: 7168 |
Author:hiugaisingniu |
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Description: 一个MATLAB程序，关于BP神经网络的非线性系统建模，可用于非线性函数拟合-A MATLAB program, system modeling BP Nonlinear neural networks, nonlinear function may be used to fit Platform: |
Size: 48128 |
Author:邢君 |
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Description: 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.) Platform: |
Size: 15360 |
Author:legisl
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Description: 使用一般PI模型拟合非线性曲线，最小二乘法参数辨识，逆模型前馈(The general PI model is used to fit the nonlinear curve, the least square parameter identification, and the inverse model feedforward.) Platform: |
Size: 2048 |
Author:zjqhdu |
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