搜索资源列表
Statistic
- 数据驱动的统计学习方法，包括PLS、PCA、ICA等，可方便进行故障诊断研究-Data-driven statistical learning methods, including PLS, PCA, ICA, can do researching on fault diagnosis
mbkplsg
- 本程序适用于故障检测，数据驱动的应用。分块PLS-This procedure applies to fault detection, data-driven applications. Block PLS
pls
- 本程序适用于解决故障检测，数据驱动问题，主要应用pls.-This procedure applies to solve the fault detection, data-driven problems, the main application pls.
wangmendel
- one of the most important areas for the application of Fuzzy Set Theory as developed by Zadeh in 1965 are Fuzzy Rule-Based Sys- tems (FRBSs).The ad hoc data-driven RB generation process proposed by Wang and Mendel in [14] has been widely kn
earthquake
- 用matlab根据数据驱动原理模拟预测地震发生情况-Using matlab simulation and prediction based on the principle of data-driven earthquake situation
data_driven
- Matlab Simulink modal for Stiction ( Data Driven Model)
throughwall
- 关于穿墙雷达探测与监视的一篇较新国外论文，并附有程序-The title of this dissertation:Through-wall human monitoring using data-driven models with Doppler information
smallbox_1.9
- SMALLbox是一种新型的基础框架采用自适应处理信号稀疏结构的表示。其主要目的是成为一个SMALLbox考验地探索新大概很好的方法来获得内在稀疏数据驱动模型,它是可以做到的应付大规模、复杂的数据资料。- SMALLbox is a new foundational framework for processing signals using adaptive sparse structured representations. The main aim of SMALLbox is t
Data_Driven_Fitting
- 数据驱动自适应程序，可用于处理各种时间序列-Can be used to deal with a variety of time series data-driven adaptive
Valve-stiction-model
- 过程工业中带有粘滞的阀门数据驱动模型，模型采用SCI论文《Two-layer banary tree data-driven model for valve stiction》中提出的算法，本人自己独立编制转化，成功运行，性能良好。模型由Matlab文件和Simulink模型两部分完成，且内设注释，可直接运行。-A data-driven model of valve stiction. The algorithm is from the paper"Two-layer banary tree
ANN_matlab
- 关于数据驱动方面的 人工神经网络_matlab_源程序代码-About data driven aspects of the artificial neural network matlab source code
FEEMD
- 快速eemd算法，收敛速度与传统eemd相比有很大改进-EMD is a nonlinear and nonstationary time domain decomposition method. It is an adaptive, data-driven algorithm that decomposes a time series into multiple empirical modes, known as intrinsic mode functions (IMFs).
Noisetracking
- Implements a data-driven noise tracking algorithm suitable for nonstationary noise sources.
SOM_NN_CODE
- An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised l
SSI
- Stochastic subspace identification method based on data-driven, slightly modified to identify structure of frequency and damping
代码及文章
- 自适应动态规划,数据驱动模型，神经网络，最优跟踪控制，鲁棒控制 Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method(Adaptive dynamic programming, data-driven model, neural networks, optimal trackin
BETAINV.M
- calibration method in many calibration and modelling applications, but offers so much more. It contains all the software tools chemical engineers, analytical chemists and other analysis-driven scientists require to fully utilize their data and build
example1
- Data-Driven Robust Approximate Optimal Tracking论文的实验示例程序。(Data-Driven Robust Approximate Optimal Tracking paper experimental sample program.)