답변 있음
please how can build the following neural networks
See the help and documentation including examples, for the Neural Network Toolbox.

거의 12년 전 | 0

| 수락됨

답변 있음
How to handle NaNs in neural network training data?
Do input and target NaNs match up? Are the NaNs isolated or do they occur in batches? If they are isolated you can look at...

거의 12년 전 | 0

| 수락됨

답변 있음
How can predict multi step ahead using Narnet
%0. a. I do not have MATLAB on this computer, so some of my code comments may need correcting. % b. I will not complain if ...

거의 12년 전 | 1

답변 있음
I want change the input value of the dynamic nenural network trainning
I may not understand your question. I interpret your question to involve a time-dependent delay vector. That is not allowed. ...

거의 12년 전 | 0

| 수락됨

답변 있음
Determine function parameters with neural network
The function fitnet can be used to model bounded continuous functions given a sufficient number (N) of I-dimensional input/O-dim...

거의 12년 전 | 0

| 수락됨

답변 있음
how can I predict streamflow discharge?
1. Standardize the data to have zero-error/unit-variance. 2. Remove or modify outliers 3. Find the statistically signific...

거의 12년 전 | 0

| 수락됨

답변 있음
how can Levenberg Marquardt algorithm be implemented in script to train a neural network
help narxnet doc narxnet One hidden layer should be sufficient. However you should use the target autocorrelation and target...

거의 12년 전 | 1

| 수락됨

답변 있음
Custom nonlinear neurons in neural network for stock/portfolio selection
The multilayer perceptron is a universal approximator. For regression use fitnet help fitnet doc fitnet For classi...

거의 12년 전 | 1

| 수락됨

답변 있음
How to estimate sensitivites of a neural net model with exogenous variables?
Differentiate the corresponding equation. For example, differentiate w.r.t. x: y = b2 + LW * tansig( b1 + IW * x )

거의 12년 전 | 0

| 수락됨

답변 있음
The traning is 100% but mistake in testing
Sounds like a classic case of overtraining an overfit net. You have too many unknown weights and/or not enough training equ...

거의 12년 전 | 1

| 수락됨

답변 있음
neural network simulation in matlab
Please format your post to have one executable command per line. Use matrix commands instead of one for every matrix componen...

거의 12년 전 | 0

| 수락됨

답변 있음
how can I use the neural network with deploytool ?
A pre-trained net is a net that has already been trained and then saved. Did you train the net named 'new' and then saved it?...

거의 12년 전 | 0

| 수락됨

답변 있음
Using the Neural Network toolbox, why do I get more solutions than I should be getting?
Transpose your data matrices [ I N ] = size(Input) [ O N ] = size(Output) *Thank you for formally accepting my answer...

거의 12년 전 | 0

| 수락됨

답변 있음
How to train a classifier and test it separately?
You can control the data division via net.divideFcn and net.divideParam help dividetrain doc dividetrain Hope this help...

거의 12년 전 | 0

| 수락됨

답변 있음
Problem using NARX NN time series tool
[ I N ] = size(Input) [ O N ] = size(Output) P.S. posting the code in question generally gets faster answers than trying t...

거의 12년 전 | 1

| 수락됨

답변 있음
How to use more than one training set for training a NARX neural network?
You are not going to be able to do it that way. 1. The net has to recognize which waveform is the input. a. How many w...

거의 12년 전 | 0

답변 있음
how to get best result of plot confusion figure
Quick answer: Also use the confusion function and test on one or more MATLAB nndataset examples NOTE: I have removed some of...

거의 12년 전 | 0

| 수락됨

답변 있음
How to use more than one training set for training a NARX neural network?
1. The system is not time-dependent because none of the weights depend on time. 2. Polynomial functions, sinusoids and their ...

거의 12년 전 | 1

| 수락됨

답변 있음
Train ten numbers and identify new inserted number
http://www.mathworks.com/matlabcentral/newsreader/search_results.html?dur=all&page=1&query=greg+alphabet&search_string=greg+alph...

거의 12년 전 | 2

| 수락됨

답변 있음
error in number of neruns
% >> help newff % newff Create a feed-forward backpropagation network. % Obsoleted in R2010b NNET 7.0. % Last used...

거의 12년 전 | 0

| 수락됨

답변 있음
How can i predict data by using neural network from input after fitting the data??
Incorrect understanding: Generalization: Ability to perform well on nontraining data Overfitting: Number of training e...

거의 12년 전 | 1

| 수락됨

답변 있음
How can i predict data by using neural network from input after fitting the data??
newoutput = net(newinput) *THank you for formally accepting my answer* Greg

거의 12년 전 | 2

답변 있음
NARX closed loop performance for multi-step prediction
Compare with relevant searches closeloop maglev greg 4hits closeloop maglev 5 hits closeloop greg 66 ...

거의 12년 전 | 1

| 수락됨

답변 있음
How detect by code which condition halted NN traning
>> [x,t] = simplefit_dataset; net = fitnet(10); [net tr] = train(net,x,t); stopcriteria = tr...

거의 12년 전 | 0

| 수락됨

답변 있음
Neural Networks toolbox - How to choose which 'divideFcn' to use for time series prediction?
1. Standardize all signals to have zero-mean/unit-variance 2. Find the significant positive lags of the target autocorrelatio...

거의 12년 전 | 2

| 수락됨

답변 있음
how to display (show) the similarty of test image in neural network
I cannot find a MATLAB code for a nearest-neighbor classifier. It looks like you'll have to code your own. Looking at the sou...

거의 12년 전 | 1

| 수락됨

답변 있음
how to display (show) the similarty of test image in neural network
The answer to your question is: If you classify an input using a MLP like patternnet, you have to compare the input with every...

거의 12년 전 | 1

답변 있음
MATLAB CODE FOR 1 HIDDEN LAYER
NEWSGROUP greg fitnet 22 hits ANSWERS greg fitnet 147 hits Which ones have no code?

거의 12년 전 | 1

답변 있음
neural network tool box
Your data is woefully inadequate. Let [ I N ] = size(input) [ O N ] = size(target) Ntrn = N-2*round(0.15*N) % default...

거의 12년 전 | 1

| 수락됨

답변 있음
character recognition using NuralNetwork or PRT toolbox
patternnet for classification and pattern-recognition fitnet for regression and curve-fitting Both call feedforwardnet ...

거의 12년 전 | 1

| 수락됨