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
yuzhen_model
- 数学建模，数据驱动，建立余震模型（仅供参考）-Mathematical modeling, data-driven, the establishment of aftershocks Model (for reference only)
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
grid
- The files in this directory will be replaced by new versions some time in the future. Check this file for information on latest update. The following files are presently included: GRID.F This file contains a code for generating 3D Cartesi
Supply_Chain_Management
- 供应链管理实用建模方法及数据挖掘 本书包括：经济全球化及企业竞争优势、供应链管理理论、供应链本流及其定量分析方法、提高供应链管理的运作绩效等内容。 简明目录： 1.经济全球化及企业竞争优势/2.供应链管理理论/3.供应链成本流及其定量分析方法/4.提高供应链管理的运作绩效/5.几种数据驱动型建模方法/6.产品供应链中的数据挖掘技术/7.供应链契约//参考文献-Supply Chain Management Modeling and Data Mining practical
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
rentiyundongjiquxuexizongshu
- 机器学习技术被广泛应用于人体运动合成，取得了很多研究成果，这得益于运动捕获技术的成熟和使用。运动捕获技术使数据驱动的方法成为人体运动合成的主流，而机器学习技术能够有效地处理人体运动数据这类维数高且在时间和空间两个维度都具有较大相关性的数据。文中以机器学习方法为主线，结合各类方法的特点，对人体运动合成中的应用进行总结和归纳；同时，还展望了人体运动合成和运动数据处理技术未来的发展趋势。-Machine learning techniques are widely used in human moti
Real-Time-Abnormality-Detection-fromWebcams
- This paperpresent a data-driven, unsupervised method for unusual scene detection from static webcams. Such time-lapse data is usually captured with very low or varying framerate. This precludes the use of tools typically used in surveillance
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
Instantaneous-frequency-estimation
- 瞬时频率估计，使用变窗长的魏格纳分布。比较新的文章。-Instantaneous frequency estimation using the Wigner distribution with varying and data-driven window length
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