搜索：input-output
找到约 6 项符合「input-output」的查询结果
结果 6
https://www.eeworm.com/dl/665/243516.html
matlab例程
To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonli
To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + ...
https://www.eeworm.com/dl/518/384083.html
数值算法/人工智能
Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs
Batch version of the back-propagation algorithm.
％ Given a set of corresponding input-output pairs and an initial network
％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the
％ network with backpropagation.
％
％ The activation functions must be either linear or ...
https://www.eeworm.com/dl/662/263606.html
VxWorks
Demo Source Code VxDemo Groups: 1. Multi-Processing 2. Networking 3. Input-Output
Demo Source Code
VxDemo Groups:
1. Multi-Processing
2. Networking
3. Input-Output
4. File System
5. MMU
6. Multi-Tasking
7. ANSI-C
8. POSIX
9. ExecHandling
https://www.eeworm.com/dl/656/123520.html
Java书籍
The book presents the entire Java programming language and essential parts of the class libraries: t
The book presents the entire Java programming language and essential parts of the class libraries: the collection classes and the input-output classes.
https://www.eeworm.com/dl/cadence/ebook/455326.html
电子书籍
This book gives a concise description of the Java 2 programming language. They give a quick referen
This book gives a concise description of the Java 2 programming language. They give a quick reference for the reader who has already learned (or is learning) Java from a standard textbook
and who wants to know the language in more detail. These book presents the entire Java pro ...
https://www.eeworm.com/dl/650/384092.html
人工智能/神经网络
％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is p
％ Train a two layer neural network with the Levenberg-Marquardt
％ method.
％
％ If desired, it is possible to use regularization by
％ weight decay. Also pruned (ie. not fully connected) networks can
％ be trained.
％
％ Given a set of corresponding input-output pairs and an in ...