Answered

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...

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...

6 Monate ago | 0

Answered

MLP Pattern discrimination task

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

MLP Pattern discrimination task

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

6 Monate ago | 1

Answered

Radial Basis Function Networks

Replace x with t Thank you for formally accepting my answer Greg

Radial Basis Function Networks

Replace x with t Thank you for formally accepting my answer Greg

6 Monate ago | 0

| accepted

Answered

how to rewrite this for feedforward neural network for with 52 inputs and 2 output that predict emission rate not for digits, where i get an error of In an assignment A(:) = B, the number of elements in A and B must be the same. Error in line36

Replace the " == " in scores(i)=sum(t_test==pre)/length(t_test); %accuracy with a minus sign ...

how to rewrite this for feedforward neural network for with 52 inputs and 2 output that predict emission rate not for digits, where i get an error of In an assignment A(:) = B, the number of elements in A and B must be the same. Error in line36

Replace the " == " in scores(i)=sum(t_test==pre)/length(t_test); %accuracy with a minus sign ...

6 Monate ago | 0

Answered

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

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

6 Monate ago | 0

Question

HOW DO I CUT, COPY AND PASTE ???

I must be missing something textfile ==> MATLAB & MATLAB ==> MATLAB Greg

6 Monate ago | 1 answer | 0

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...

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...

6 Monate 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

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

6 Monate ago | 0

Answered

Regarding Multi-label transfer learning with googlenet

Decades old solution: Divide each output by the sum to obtain the relative probability ...

Regarding Multi-label transfer learning with googlenet

Decades old solution: Divide each output by the sum to obtain the relative probability ...

6 Monate 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-...

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-...

6 Monate ago | 0

Answered

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...

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...

6 Monate ago | 0

Answered

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...

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...

6 Monate 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? ...

6 Monate ago | 0 answers | 0

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...

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...

6 Monate 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

Why does this produce an error?

Remove the square brackets in the first line Thank you for formally accepting my answer Greg

7 Monate 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. ...

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. ...

7 Monate ago | 1

Answered

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...

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...

7 Monate 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...

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...

7 Monate 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...

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...

7 Monate ago | 0

Answered

Calculating a Network's Diameter

mean(d(:)) Hope this helps Thank you for formally accepting my answer Greg

Calculating a Network's Diameter

mean(d(:)) Hope this helps Thank you for formally accepting my answer Greg

7 Monate ago | 0

| accepted

Answered

MATLAB NN toolbox does not give the expected weights and bias amount after trained the network

Use the special cases of feedforwardnet a. fitnet for curvefitting and regression b. patternnet for clas...

MATLAB NN toolbox does not give the expected weights and bias amount after trained the network

Use the special cases of feedforwardnet a. fitnet for curvefitting and regression b. patternnet for clas...

7 Monate ago | 0

Answered

What is Sliding Window Approach and its algorithm?What is its application in neural network?

Simplest example of a sliding window approach y( 1 ) = f( x( 1 : n ) ); y( 2 ) = f( x( n+1 : 2 * n ); y( 3 ) = f(...

What is Sliding Window Approach and its algorithm?What is its application in neural network?

Simplest example of a sliding window approach y( 1 ) = f( x( 1 : n ) ); y( 2 ) = f( x( n+1 : 2 * n ); y( 3 ) = f(...

7 Monate ago | 0

Answered

Need help! I try to build Neural Network but it does not fit well with the training data!

>> Vp = Input * W1; Error using * >> size(Input), size(W1) ans = 158 4 ans = ...

Need help! I try to build Neural Network but it does not fit well with the training data!

>> Vp = Input * W1; Error using * >> size(Input), size(W1) ans = 158 4 ans = ...

7 Monate ago | 1

| accepted

Answered

What formula is used when setting net.performParam.norâ€‹malization = 'standard' in combination with MSE

It is just a straightforward linear transformation. For the target, t: tn = a*t +b -1 = a*tmin + b 1 = a*tmax + b...

What formula is used when setting net.performParam.norâ€‹malization = 'standard' in combination with MSE

It is just a straightforward linear transformation. For the target, t: tn = a*t +b -1 = a*tmin + b 1 = a*tmax + b...

7 Monate ago | 0

| accepted

Answered

why inputs and targets have diffrent sampels?

For I-dimensional "I"nputs and O-dimensional "O"utput targets After reading in inputs and targets ALWAYS CHECK THE DIMENSION...

why inputs and targets have diffrent sampels?

For I-dimensional "I"nputs and O-dimensional "O"utput targets After reading in inputs and targets ALWAYS CHECK THE DIMENSION...

7 Monate ago | 0

| accepted

Answered

How to use a personal function to normalization data in the neural network

See the documentation >> help nnparam.normalization and >> doc nnparam.normalization Hope this helps Thank you for formally...

How to use a personal function to normalization data in the neural network

See the documentation >> help nnparam.normalization and >> doc nnparam.normalization Hope this helps Thank you for formally...

7 Monate ago | 0

| accepted

Answered

Is it normal that one neuron in the hidden layer is sufficient for a neural network with 56 inputs and one output?

If your training data is sufficient, the most stable designs occur when the training goal is satisfied wit h a minimum number of...

Is it normal that one neuron in the hidden layer is sufficient for a neural network with 56 inputs and one output?

If your training data is sufficient, the most stable designs occur when the training goal is satisfied wit h a minimum number of...

7 Monate ago | 0

| accepted

Answered

Help with creating a Newton-Raphson algorithm function

Add the line ans = ans Hope this helps. Thank you for formally accepting my answer Greg

Help with creating a Newton-Raphson algorithm function

Add the line ans = ans Hope this helps. Thank you for formally accepting my answer Greg

7 Monate ago | 0

Question

WHY AM I UNABLE TO PASTE FROM MATLAB OR NOTEPAD INTO ANSWERS???

SHEESH !!! MATLAB VERSION 9.4.0.813654 (2018a) Greg heath@alumni.brown.edu

7 Monate ago | 0 answers | 0

Answered

divide training set into validation but test on a different set in NN

I have an answer BUT FOR SOME REASON, CANNOT PASTE IT INTO THE ANSWER BOX HELP !!! heath@alumni.brown.edu

divide training set into validation but test on a different set in NN

I have an answer BUT FOR SOME REASON, CANNOT PASTE IT INTO THE ANSWER BOX HELP !!! heath@alumni.brown.edu

7 Monate ago | 0