Beantwortet
Which activation or transfer function is suitable to classify 3 type of data?
My computer does not allow me to use the comment box. I can't even use the full ANSWER box! Use tansig/tansig *Thank you f...

mehr als 8 Jahre vor | 0

Beantwortet
newlind() network and adapt() training function
Use the fitnet defaults. adapt is not a default. Greg

mehr als 8 Jahre vor | 0

Beantwortet
Which activation or transfer function is suitable to classify 3 type of data?
Use [ 1 0 0 0 1 0 0 0 1 ] Hope this helps. *Thank you for formally accepting my answer* Greg

mehr als 8 Jahre vor | 0

Beantwortet
Monitoring Adapt() train function
Did you consult the online documentation help adapt doc adapt type adapt Hope this helps. Greg

mehr als 8 Jahre vor | 0

| akzeptiert

Frage

HOW DO I SEARCH IN ANSWERS ???
Did someone steal the search window?

mehr als 8 Jahre vor | 1 Antwort | 0

1

Antwort

Beantwortet
Why isn't my network splitting between training and testing data?
DO NOT USE THE FUNCTIONS NEWRBE, NEWGRNN OR NEWPNN!!! They do not have a reasonable amount of flexibility, If you want a...

mehr als 8 Jahre vor | 0

| akzeptiert

Beantwortet
I have a lot of data results, How do I find a parameter of an equation which can predict these results?
Before you do anything else 1. Normalize the data 2. Plot each normalized output vs each normalized input 3. Plot the o...

mehr als 8 Jahre vor | 1

| akzeptiert

Beantwortet
I have a lot of data results, How do I find a parameter of an equation which can predict these results?
Neural Networks seems like the most reasonable approach UNLESS you have plots that indicate the individual I-O plots are relativ...

mehr als 8 Jahre vor | 1

Beantwortet
Input Matrix Limit with Trial Neural Network Toolbox
Over the past 50 years or so I have found that , excluding outliers, most n-dimensional dimensional distributions are adequately...

mehr als 8 Jahre vor | 0

Beantwortet
Feedforward Neural Network with Adapt Training
Think in terms of column vectors: Each of N I-dimensional "I"nput vectors causes 1 of the N O-dimensional "O"utput vectors. The ...

mehr als 8 Jahre vor | 0

Beantwortet
Does patternnet create MLP neural network??
Yes. The configuration generated by the call to patternnet is a Multi-layer-perceptron https://en.wikipedi...

mehr als 8 Jahre vor | 0

| akzeptiert

Beantwortet
how to merge neural network into genetic algorithm?
Any type you want. However, if the configuration is a MATLAB standard, the best approach is to use the standard training algo...

mehr als 8 Jahre vor | 1

Beantwortet
Cross validation in matlab
Repeat until the parameter estimates converges 1.Randomly divide the data into 10 subsets 2.For each subset a. Use t...

mehr als 8 Jahre vor | 0

| akzeptiert

Beantwortet
How to implement cross validation in neural network for time series prediction
If this is the 1st time you are using neural networks: 1. BOTH TIMESERIES AND CROSSVALIDATION ARE ADVANCED TOPICS. IF YOU ...

mehr als 8 Jahre vor | 0

Beantwortet
How to identify the class is labeled or not? help me in finding target matrix??
If you have N I-dimensional input vectors to classify into one of c independent classes, the size of the input matrix is [...

mehr als 8 Jahre vor | 0

Beantwortet
NARX Neural Network test on new test set?
The best way to begin: Upper case for cell variables Lowercase for noncells Subscript o for openloop (OL) Subscript c ...

mehr als 8 Jahre vor | 0

Beantwortet
How can I use the Genetic Algorithm (GA) to train a Neural Network with multiple outputs to forecasting in Neural Network Toolbox?
I have posted applicable GA code (probably in the NEWSREADER, but check ANSWERS also). greg genetic greg ga -genetic ...

mehr als 8 Jahre vor | 0

| akzeptiert

Beantwortet
Why I get different results by using 100 epochs x 1 (only NN toolbox, no loop) and 1 epochs x 100 (NN toolbox and for loop) in Matlab Neural Network training?
Every time you call train, certain parameters are reinitialized. Therefore 100 one epoch calls cannot be the same as one 100...

mehr als 8 Jahre vor | 1

| akzeptiert

Beantwortet
best way to handle large input for neural network
When each of N I-dimensional "I"nput vectors is paired with one of corresponding N O-dimensional "O"utput target vectors, [...

mehr als 8 Jahre vor | 0

Beantwortet
Optimization of hidden layer dimension in neural network (number of neurons)
If you search the NEWSGROUP and ANSWERS using greg genetic you should conclude that I don't recommend GA for NN design. ...

mehr als 8 Jahre vor | 1

| akzeptiert

Beantwortet
Plot of Training progress in training a network
You don't have to specify anything. The training plot is a default. Hope this helps. *Thank you for formally accepting ...

mehr als 8 Jahre vor | 0

| akzeptiert

Beantwortet
Learning functional relationship through NN where only postprocessed target values are known
There is no solution to your problem. The functional relationship between input and target is a step function. Obviously, ...

mehr als 8 Jahre vor | 0

Beantwortet
Neural Network Validation Criterion Reached?
QUESTION: When I am training the neural network though it say "Validation Criterion Met" and ends the training even though accur...

mehr als 8 Jahre vor | 2

Beantwortet
How to improve the prediction performance of NARXNET in closed loop simulation and how to train it for multiple data set?
Your comments are too qualitative. Have you consulted my NARXNET posts in the NEWSGROUP and ANSWERS? Dimensions of input a...

mehr als 8 Jahre vor | 1

| akzeptiert

Beantwortet
image classification using fourier transform
I learned (decades ago !!!), that explictly removing the mean value before using the FFT eliminates a multitude of problems whe...

mehr als 8 Jahre vor | 0

Beantwortet
Predicting one period ahead using neural networks
You do not understand the basics regarding the use of 1. training/validation/testing data division 2. Significant delays ...

mehr als 8 Jahre vor | 0

Beantwortet
How can i optimize the architecture of the feedforward neural network using genetic algorithm???
There is no universally accepted definition of an optimum design. My approach is to minimize the number of estimated weights ...

mehr als 8 Jahre vor | 0

Beantwortet
What is difference of inputDelays = 0:6 and inputDelays = 1:7 to function timedelaynet(inputDelays,hiddenLayerSize) ?
It depends what you want. An input delay of zero implies that the output will respond to the input instantaneously. Some may ...

mehr als 8 Jahre vor | 0

Beantwortet
Question: Just Getting Started with NARX NN
IN ORDER OF PREFERENCE, the best way to get help is 1a. Demonstrate with the MATLAB help or doc dataset example help na...

mehr als 8 Jahre vor | 0

Beantwortet
newp function… What does specifying the range do?
Before asking questions about any functions it is good practice to first use the MATLAB help and documentation info via, e.g., ...

mehr als 8 Jahre vor | 1

| akzeptiert