资源列表
knn
- k最近邻算法:分类和回归。通过对训练集分类训练模型，验证集用于验证数据的准确性。(K nearest neighbor algorithm: classification and regression. Through the training set classification training model, the verification set is used to verify the accuracy of the data.)
神经网络模式识别
- 模式识别与智能系统是20世纪60年代以来在信号处理、人工智能、控制论、计算机技术等学科基础上发展起来的新型学科。该学科以各种传感器为信息源，以信息处理与模式识别的理论技术为核心，以数学方法与计算机为主要工具，探索对各种媒体信息进行处理、分类、理解并在此基础上构造具有某些智能特性的系统或装置的方法、途径与实现，以提高系统性能。模式识别与智能系统是一门理论与实际紧密结合，具有广泛应用价值的控制科学与工程的重要学科分支。(Pattern recognition and intelligent syst
naive_bayes
- 朴素贝叶斯算法分类及回归，附带训练集和测试集，可以评测正确率和输出预测文件(Classification and regression of naive Bayes algorithm, incidental training set and test set can evaluate the correct rate and output prediction file.)
17.10.24 Modelleme
- modelling with eexcel solver
DCS2 Lab File
- dcs 2 manual for studying for students
AvantPertur
- simulation du fonctionnement d un moteur a courant contenu
BatteryChargeController
- 针对锂离子电池，建立电池模型，对于电池剩余电量进行估算，采用安时积分法，效果还可以(The lithium ion battery, a battery model, to estimate the remaining battery power, the current time integral method, the effect can also be)
Li_ion_battery
- 针对锂离子电池，建立电池模型，对于电池剩余电量进行估算，采用Kalman Filter，效果还可以(The lithium ion battery, a battery model, to estimate the remaining battery power, the current time integral method, the effect can also be Kalman Filter)
FIR filter
- Implementation of FIR filter in matlab
superhetero
- Super heterodino reciever
sampling
- sampling in communications
OT_Bessel_tablice
- bessel tables for matlab users