搜索：trains
找到约 7 项符合「trains」的查询结果
结果 7
https://www.eeworm.com/dl/628/471383.html
编译器/解释器
Silmulation of connecting trains
Silmulation of connecting trains
https://www.eeworm.com/dl/654/171505.html
数据结构
TrainReset:there are many trains need to drive out of the station .In terms of their numbers from sm
TrainReset:there are many trains need to drive out of the station .In terms of their numbers from small to large.There are only three railways used to place the trains ,and also need the same order.
https://www.eeworm.com/dl/518/289146.html
数值算法/人工智能
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-mean
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means
algorithm to set the centres of a cluster model. The matrix DATA
represents the data which is being clustered, with each row
corresponding to a vector. The sum of squares error f ...
https://www.eeworm.com/dl/521892.html
书籍
Emerging Technologies in Wireless LANs Theory
Wireless Fidelity (Wi-Fi) networks have become mainstream over the last few years. What
started out as cable replacement for static desktops in indoor networks has been extended
to fully mobile broadband applications involving moving vehicles, high-speed trains, and
even airplane ...
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/650/291387.html
人工智能/神经网络
The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB lan
The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2.
The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples.
The retur ...
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 ...