photo

格雷格·希思


Last seen: 1년 이상 전|2011 이후 활성

Backgound in Electromagnetic Theory, Plasma Physics and Radar Target Identification using Neural Networks.
PhD Student, Research Assistant and Lecturer at Stanford;
AB,SCB,SCM学生;布朗研究助理,研究员和教授;
27 yrs researching Ballistic and Theatre Missile Defense using Neural Networks at MIT Lincoln Laboratory. Retired 2003.

PLEASE DO NOT SEND QUESTIONS AND DATA TO MY EMAIL. HOWEVER, CAN SEND LINKS TO POSTS.
Professional Interests: Neural Netwoks, Spectral Analysis

Statistics

  • 首次审查
  • 36个月连胜
  • 感恩5级
  • Ace
  • Revival Level 4
  • 知识渊博的5级
  • First Answer

배지보기

Content Feed

보기 기준

답변 있음
Would this be considered underfitting?
A model is UNDERFIT if and only if No. of independent training equations < No. of unknowns Hope this helps Tha...

1년| |0

답변 있음
Avoid exploding/vanishing gradient problem with NARX nets?
使用较高的开环的同性恋目标。然后在循环关闭后降低值。自从我这样做已经好几年了...

2년| |0

답변 있음
How to make prediction from a trained NARX neural network?
You forgot to include the intial conditions: yz = nets(xz,xiz,aiz); Thank you for formally accepting my answer Greg

2년| |0

답변 있음
在训练神经网络(NN)时退出记忆问题,阵列超出了使用BackPropjacobianstatic的最大数组大小的偏好
A single hidden layer is sufficient. Hope this helps Thank you for formally accepting my answer Greg

2년| |0

답변 있음
在训练神经网络(NN)时退出记忆问题,阵列超出了使用BackPropjacobianstatic的最大数组大小的偏好
A single hidden layer is sufficient. Hope this helps Thank you for formally accepting my answer Greg

2년| |0

답변 있음
Difference between function of sim and predict in Neural network?
help sim doc sim help predict doc predict Thank you for formally accepting my answer Greg

2년| |0

답변 있음
Forecasting using GRNN (Generalized Regression Neural Network)?
是的,将输入数据和输出数据标准化为[-1,1]。最小化足够多项式拟合的顺序。最小化...的数量

2년| |0

답변 있음
CNN With unbalanced Data
Although you do not prefer data augmentation, duplication of the smaller dataset examples is probably the quickest and most reli...

2년| |0

질문


How to find questions on neural neural networks.
我已经离开了一段时间:如何列出神经网络问题?格雷格

2년| |답변:1 |0

1

답변

답변 있음
Trained neural network to optimize input variable
"OPTIMIZED INPUT" is ill-defined Just train another net x2 = f2(x1,y1,y2) Hope this helps, THANK YOU FOR FORMALLY ACCEP...

약22 |0

답변 있음
Linear Integer Output from a Neural Network
在培训期间,不必考虑输出的整数性质。足以绕过真正的有价值的ou ...

약22 |0

답변 있음
如何在神经网络中禁用验证和测试数据集
您必须在修改任何属性之前定义网络。清除全部,关闭全部,clc [x,t] = iris_dataset;对于i = 1:2网...

2년| |1

답변 있음
Training data and Training target in Neural Networks
You cannot make any intelligent decisions until you have examined a plot of the data!!! (WRONG!!! Plotting the data first is ...

2년| |0

|수락됨

답변 있음
万博1manbetx模拟神经网络,为工作区产生不同的输出
一个简单的解决方案是始终通过重置随机数生成器的重置开始程序。例如,选择您的favo ...

2년| |1

답변 있음
How to avoid getting negative values when training a neural network?
在输出层中使用Sigmoid。希望这有助于您正式接受我的答案Greg

2년| |0

답변 있음
weird plotregression plots for a 10% of my fitnet neural networks
有时培训进入参数空间车辙。这就是为什么训练多个型号是明智的。希望这可以帮助。格雷格...

2년| |0

답변 있음
What is the purpose of shuffling the validation set?
To impose and verify a consistent GENERALIZED path to convergence by avoiding repetitive anomalies. Hope this helps Greg

2년| |0

답변 있음
How to force overfiting of Deep Learning Network for Classification
与训练向量相比,过度拟合=更多的训练未知数(例如,权重)。过度训练1 =训练一个过度拟合网络到...

2년| |0

답변 있음
Neural Network Pattern Recognition
Targets are 1-dimensional unit vectors with 4 zeros and a single 1 . Thank you for formally accepting my answer. Greg

2년| |0

|수락됨

답변 있음
重复推断时,词质表演产生略有不同的值
Use clear all, close all, clc, rng(0) on the 1st line Thank you for formally accepting my answer Greg

2년| |0

답변 있음
combining two neural networks (net1 is trained & net2 is untrained) in one bigger network
只有1.将net1的输出保存在文件中2.使用文件来训练net2 greg

2년| |0

답변 있음
Problem with the TreeBagger Command
输入功能和输出目标的大小必须为[i n] = size(输入)[o n] = size(target)希望这有帮助...

2년| |0

답변 있음
如何创建将提供多个输入和输出的神经网络?
始终排列您的数据,以便[i n] = size(输入)[o n] = size(输出)希望这会有所帮助。格雷格

2년| |0

답변 있음
如何在MATLAB中制作混合模型(LSTM和合奏)
用1/0或1/-1替换您的是/否数据。希望这可以帮助。格雷格

2년| |1

답변 있음
how to augment image data only for a specific class?
Separate class 0 and interpolate. If you have a good feel for the data you could extrapolate. However the latter might be tricky...

2년| |0

답변 있음
NTSTOOL - How to get predicted values of "the future"?
The known time series is analyzed to yield a time-series model that uses past and present values to predict future values. The ...

2년| |0

답변 있음
timedelaynet输出计算原理
You did not include tHe 2 biases. Hope this helps. Greg THANK YOU FOR FORMALLY ACCEPTING MY ANSWER

2년| |0

답변 있음
Understand number of weights of Neural Network
有可能的。但是,总的来说,您丝毫没有选择哪种选择要比随机更好。...

3년 이하 전 | 0

답변 있음
使用PCA进行功能选择
PCA(主坐标分析)是回归的一种非常有用的方法(它排名原始变量的线性组合...

3년 이하 전 | 0

답변 있음
我们如何确定模式网中的隐藏层数量?
Patternnet(10)表示一个带有十个节点的隐藏层,重要的是要注意层和节点的数量。这 ...

3년 이하 전 | 0

|수락됨

더로드