TRAIN
共 60 篇文章
TRAIN 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 60 篇文章，持续更新中。
Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Ne
Train a two layer neural network with a recursive prediction error
％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully
％ connected) networks can be trained.
％
％ The activation fun
％ 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
人工神经网络系统的训练 TRAIN BP算法存在局部极小点
人工神经网络系统的训练 TRAIN
BP算法存在局部极小点，收敛速度慢等缺点，改进的BP算法。
2013遗传算法工具箱
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% 生成训练样本集
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train for support vector machine
train for support vector machine
JaNet: Java Neural Network Toolkit resume: A well documented toolkit for designing and training, a
JaNet: Java Neural Network Toolkit
resume: A well documented toolkit for designing and training, and a java library for inclusion in third party programs.
description: jaNet package is a java neur
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve r
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by
ApMl provides users with the ability to crawl the web and download pages to their computer in a dire
ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documen
hide markov model(HMM) for matlab including initiate,train,and test three parts
hide markov model(HMM) for matlab including initiate,train,and test three parts
support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) wit
support vector classification machine
％ soft margin
％ uses "kernel.m"
％
％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension
％ ytrain: (Ltrain,1) containing class labels (-1 or +1)
％
MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999 ％needs optimization toolbox ％Modified b
MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999
％needs optimization toolbox
％Modified by Bruce Land
％--Data via globals to anaylsis programs
％--3D plotting with color coded groups
％--M
员工培训系统,首先确认您的机器上已经安装了VC6.0以上版本
员工培训系统,首先确认您的机器上已经安装了VC6.0以上版本，要编译生成可执行文件，需打开后缀名为dsw的文件，系统会默认用VC打开，然后选择Build菜单下的Set Active Configuration选项，选择Project Configuration为Win32 Release，然后编译项目，得到可执行文件。连接数据库请参照第2章的方法，在ODBC数据源内添加Microsoft Acce
svmtrain
svm中train方法，适用于做svm分类的用户直接调用
调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combinin
调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2
proe2001
<span style="font-family:tahoma, arial, 宋体, sans-serif;font-size:14px;line-height:21px;white-space:normal;background-color:#FFFFFF;">内含范例文件及多媒体教学系统，首先将Disc 1的ProE_Adv-2目录直接复制到硬盘任意位置，再将Disc 2的ch4及ch5目录
proe2001教材
<span style="font-family:tahoma, arial, 宋体, sans-serif;font-size:14px;line-height:21px;white-space:normal;background-color:#FFFFFF;">内含范例文件及多媒体教学系统，首先将Disc 1的ProE_Adv-2目录直接复制到硬盘任意位置，再将Disc 2的ch4及ch5目录
Tornado train workshop的配套实验教材
Tornado train workshop的配套实验教材，与tornado train workshop的各个章节配套，有详细的实验操作过程，并附上相应的demo代码
LQR controller to deal with the train problem
LQR controller to deal with the train problem
bp神经网络源码, NEWFF---生成一个新的前向神经网络 TRAIN-----对BP神经网络进行训练 SIM----对BP神经网络进行仿真
bp神经网络源码, NEWFF---生成一个新的前向神经网络
TRAIN-----对BP神经网络进行训练
SIM----对BP神经网络进行仿真
Hopfield Neural network, allows you to train a 4X4 Hopfield network.
Hopfield Neural network, allows you to train a 4X4 Hopfield network.