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matlab例程 The design of Kalman filter for estimation of state
The design of Kalman filter for estimation of state
数学计算 A 8 puzzle program solver.user have to input the current state and goal state of your 8 puzzle and i
A 8 puzzle program solver.user have to input the current state and goal state of your 8 puzzle and it solving by the program.
Applet java vending Machine source code
java vending Machine source code
人工智能/神经网络 This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are
This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
matlab例程 list of matlab m-files on matlab 7.0. learning , support vector machine and some utility routines :
list of matlab m-files on matlab 7.0. learning , support vector machine and some utility routines : autocorrelation, linearly scale randomize the row order of a matrix
其他书籍 an introduction for support vector machine
an introduction for support vector machine
人工智能/神经网络 a good document that introduces support vector machine in detail and covers almost all of contents
a good document that introduces support vector machine in detail
and covers almost all of contents
we need generally
matlab例程 Two scripts are included here. 1. convsys.m - combines the state space representation of two syst
Two scripts are included here.
1. convsys.m - combines the state space representation of two systems connected in series.
[Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2)
This algorithm gives the convolution of two state space representations
| A1 B1 | | A2 B2 |
u ==> | | == ...
其他书籍 机器学习+Tom+M.+Mitchell《Machine+Learning》之中文版。据我们导师说这是一本很好的人工智能方面的书
机器学习+Tom+M.+Mitchell《Machine+Learning》之中文版。据我们导师说这是一本很好的人工智能方面的书，希望学习人工智能的可以看看,我刚找到看。
数学计算 The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic syst
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineerin ...