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Greg Heath


3,047 total contributions since 2011

Backgound in Electromagnetic Theory, Plasma Physics and Radar Target Identification using Neural Networks.
PhD Student, Research Assistant and Lecturer at Stanford;
AB, ScB, ScM Student; Research Assistant, Fellow and Professor at Brown;
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

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Answered
Difference between 2D input and multiple input with recurrent neural networks for time series
Written MATLAB should treat the cases the same. Unfortunately I don't have time to prove it Greg

1 day ago | 0

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how can i train my network for test and validation data?
The MATLAB default AUTOMATICALLY splits the data into TRAINING + VALIDATION+TEST SUBSETS in the ratios 0.7/0.15/0.15. For r...

8 days ago | 0

Answered
Best Neural Network for Multivariate Regression
Use FITNET. Accept all parameter settings. Train 10 models with different random initial weights If unsuccessful. Repeat wi...

8 days ago | 0

| accepted

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how can i train my network for test and validation data?
Where is your training data? The MATLAB default is a random choice of trn/val/tst = 0.7/0.15/0.15 I choose candidate values ...

8 days ago | 0

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Early Stopping for Deep Networks
It is not clear to me that, based on a random 15% of the data, this is a better choice. It would be interesting to make a formal...

8 days ago | 0

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How to compute gradients using the Neural Network Toolbox software through a backpropagation process?
You are confused The target function is constant and independent of the weights. Hope this helps. *Thank you for formal...

8 days ago | 0

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Setting the best training / validation ratio in a Neural Network
1. ALWAYS START WITH 10 DESIGNS USING THE MATLAB DEFAULT! 2. Then evaluate the results to determine what to modify. ...

8 days ago | 1

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MATLAB Dropout layer during prediciton
help dropout ... It is important to note that when creating a network, dropout will only be used during training. Hope this he...

13 days ago | 0

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How to use predict(net,X) with Sequence data or data which have single dimensional input?
How do you expect us to help when you do not show us your code ??? Just the fact that the error involves "predict" and you show...

13 days ago | 1

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I am unable to understand the code
See help dlmread doc dlmread Thank you for formally accepting my answer Greg

13 days ago | 0

Answered
Problem with Fitnet function
Delete the outer parentheses >> ( net = fitnet(10) ) % ERROR >> net = fitnet(10) % OK !!! Tha...

13 days ago | 0

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How do I improve my neural network performance?
The mse for the trial answer output = mean(target')' is MSE00 = var(target',1) Therefore , I uase the following as a gen...

19 days ago | 0

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MLP Pattern discrimination task
Probaby as well as any other technique. *Thank you for formally accepting my answer* Greg

19 days ago | 1

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Radial Basis Function Networks
Replace x with t Thank you for formally accepting my answer Greg

19 days ago | 0

| accepted

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How I can implement a custom hidden and a regression output layer with 2 inputs?
Is that one input a scalar or a vector? Hope this helps **Thank you for formally accepting my answer** Greg

22 days ago | 0

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HOW DO I CUT, COPY AND PASTE ???
I must be missing something textfile ==> MATLAB & MATLAB ==> MATLAB Greg

30 days ago | 1 answer | 0

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Answered
I have xy coordinates as input. My question is: How do I give these xy coordinates as inputs to the neural network?
Order them in the way that is best for YOUR understanding. Given that, multiple rounds of training should yield a good approxim...

30 days ago | 0

Answered
neural network for quadratic programming
NNs are designed given target/input pairs. You have no targets. Or am I missing something??? Hope this helps. Greg

1 month ago | 0

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Regarding Multi-label transfer learning with googlenet
Decades old solution: Divide each output by the sum to obtain the relative probability ...

1 month ago | 0

Answered
Matlab Shallow Network Mini Batch Training
If you have a huge dataset, it is often rewarding to just randomly divide it into m subsets. Then design with 1 and test on m-...

1 month ago | 0

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Why is there a error message that says the numbers of input signals and networks inputs do not match?
See my attachment Note that typically, all you have to define is the input and target. Use of CONFIGURE is UNNECESSARY It ca...

1 month ago | 0

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How can I modify objective function in "trainingOptions" to suit a particular unusual problem
I think you are confused. 1. Your input and target define your function 2. In general, the standard net with tansig hidde...

1 month ago | 0

Question


UNABLE TO PASTE INTO COMMENT AND ANSWERS BOXES
Had troubles with the computer. Was able to get it running again. However, now I cannot paste into MATLAB. Any suggestions? ...

1 month ago | 0 answers | 0

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Answered
Do a leave one out cross-validation in patternnet
Over the past decades I have tried every cute data division technique known to man and beast. BOTTOM LINE: The easiest suffi...

1 month ago | 0

| accepted

Answered
Why does this produce an error?
Remove the square brackets in the first line Thank you for formally accepting my answer Greg

2 months ago | 0

Answered
How to use multiple labels as targets in Neural Net Pattern Recognition Toolbox?
The following is standard for classification and pattern recognition: 1. Label the classes from 1 to 14 2. ...

2 months ago | 1

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What the function "preparets" does in NARX neural network toolbox
The data in 2 rows are taken to provide the initial delay conditions, Hope this helps. Thank you for formally accepting my a...

2 months ago | 0

| accepted

Answered
what is the difference between trainlm and trainbr?
One minimizes mean square error The other minimizes a weighted sum of squared errors and squared weights The latter is typ...

2 months ago | 0

Answered
Cross Validation in Neural Network ?
You may be confused. The MATLAB DEFAULT is RANDOM DATA DIVISION with 80% training 10% validation (tends to prevent o...

2 months ago | 0

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