trained
共 13 篇文章
trained 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 13 篇文章，持续更新中。
新工科背景下单片机课程的项目情景教学方法
<p>为了适应服务京津冀区域经济的“双一流”高校建设需求,加快实施“新工科”背景下的人才培养目标,在通信工程的专业认证过程中,针对性地解决传统的单片机与接口技术课程教学过程中存在的问题,将授课全部改为实践环节,通过给学生设计具体工程项目案例形成项目管理和项目研发团队,调动学生的学习兴趣和课外时间促进项目的实施,达到同时培养项目管理和技术创新复合型人才的目的,构建了单片机与接口技术课程教学质量的可持
Understanding+Telecommunications+Networks
Telecommunications is today widely understood to mean the electrical means of<br />
communicating over a distance. The first form of telecommunications was that of<br />
the Telegraph, which was inven
neural network trained with extended kalman filter
neural network trained with extended kalman filter
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
This function calculates Akaike s final prediction error ％ estimate of the average generalization e
This function calculates Akaike s final prediction error
％ estimate of the average generalization error for network
％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive
％ counterparts.
％ 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
Single-layer neural networks can be trained using various learning algorithms. The best-known algori
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first t
小波神经网络好文章！A method for fault detection is proposed using a trained neural network as the nominal mo
小波神经网络好文章！A method for fault detection is proposed using a trained neural network as the nominal
model of the system to be monitored. Partial physical knowledge, if available, can be combined
with t
This function calculates Akaike s final prediction error ％ estimate of the average generalization e
This function calculates Akaike s final prediction error
％ estimate of the average generalization error.
％
％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the
％ final prediction e
This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is
This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is trained by a chaotic back propagation method
neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object o
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By
This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models
This function applies the Optimal Brain Surgeon (OBS) strategy for
％ pruning neural network models of dynamic systems. That is networks
％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursi
neural network trained with unscented kalman filter
neural network trained with unscented kalman filter