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Dynamic Neural Network [NARX] - How to use training set
Most neural networks are , in general, multi-input/multi-output. Just interpret the input, hidden and output variables as column...

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How to write my own neural network transfer function which gives discrete outputs 1,2,3.
You don't need anything special. Just use fitnet with targets of 1,2,3. You will end up with a continuum of outputs. For examp...

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How to write my own neural network transfer function which gives discrete outputs 1,2,3.
Not enough info. Why do you need to do this? Are inputs discrete or conntinuous? If the former, you might be able to us...

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starter questions for neural network
1.Will nftool be suitable for this analysis? Yes After opening nftool, 2.Can my inputs be of different elements? ...

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Image Processing with Backpropagation algorithm
Backpropagation is not used to directly create a data base. However, if you have a data base of inputs and targets, one of th...

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What are the reasons for having different outputs after several runs?
The short answer is that train(only if all weights are zero) or configure( anytime) assign weights depending on the state of the...

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how can i use arteficial nural network on images using matlab
There are many ways. You have to be specific. You can start by searching NEWSGROUP and ANSWERS by searching on neural image ...

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Feedforwardnet for XOR problem with logsig transfer function
Reduce confusion: Never use feedforwardnet. Use fitnet for regression or curve-fitting. Use patternnet for classification ...

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how to test a trained network with new data?
trueclass = vec2ind(target) % Unit vector target columns --> class indices [net tr output ] = train(net,input,target)...

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How Can I Auto-save an Image of Neural Network Architecture
I couldn't find the post online and my computer with MATLAB is down. I'm pretty sure it was done by assigning a name or figure n...

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How Can I Auto-save an Image of Neural Network Architecture
This question has been asked by me in the past. Try searching using a subset of neural save view greg The answer was pro...

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Forecasting with Neural Network
My guess is that the fitnet function is what you want help fitnet doc fitnet Good Luck. *Thank you for formally acce...

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my neural network is giving same output for all inputs...do you have any idea why?
1. There is no reason to use more than one hidden layer 2. You have created a net with 8 inputs instead of 1 8-dimensional in...

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How to improve results for river_dataset predicting ahead
You are misusing the term validation. total = design + test design = training + validation The validation set is part ...

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How i can configure a neural network with hidden layer and output layer function transfer logsig?
Use patternnet for classifying into two categories. It automatically normalizes input and output to [-1,1] and uses tansig hidde...

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Neural network curve fitting: How to tell the net that some samples are more important than others?
Always begin by using as many defaults as possible and the help example net = finet(5) % NO semicolon! Will reveal all of th...

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Neural network curve fitting: How to tell the net that some samples are more important than others?
See help mse and doc mse regarding the input: error weights. Hope this helps. *Thank you for formally accepting my answer*...

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How to give feature as input to PNN(Probabilistic neural network)
See my reply in the NEWSGROUP. Greg

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How to generate mathematical model or equation of a Neural netwok converted by gensim o simulink
I don't know about gensim/Simulink. However, the general equation for the standard MLP is output = repmat(b2,1,N) + LW*tanh...

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Specifying Neural Network output range to either 0 or1
1. With only 2 classes you can replace softmax with logsig for training and use. Then either a. Use round: help round, doc...

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need help for choosing topology of neural network
1. Use a 10*5000 target matrix with unit vector columns from eye(10) 2. Substantially reduce the input dimensionality (e.g., ...

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how to predict the remaining useful life of machine using neural network
Find the significant lags of the autocorrelation function. The maximum significant lag tends to be the prediction limit. If you ...

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NEURAL NETWORKS GRBF
Command line help/doc newrb Search NEWSGROUP and ANSWERS newrb Search NEWSGROUP and ANSWERS rbf Typically, ...

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Is it possible to predict N future values with rbfnn?
1. Use the autocorrelation function to determine the significant nonzero delays of P; Use as many as needed. 2. For the purpo...

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Radial Basis Network with 'purelin'
If you change the hidden layer transfer to function purelin, the net is just a linear model and can be replaced by the backslash...

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Why Neural Network's output reduce 2 samples?
If you are using a time series net with 2 input and/or feedback delays, then this is to be expected. Otherwise, there is prob...

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how can i changhe the transfer function of output layer of neural network?
With obsolete (since 2010b) nets like newfit for regression/curve-fitting and newpr for classification/pattern-recognition (bot...

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can i use another activation function outside of the set of activation function in neural network toolbox?
Sure: edit tansig % command % save as myfunction % modify % save Hope this helps. *Thank you for formall...

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Feedforward neurale network including minimum and maximum values??
A typical objective of training is, given data ( DESIGN + NONDESIGN ) that can be considered to come from the same probability d...

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Simple linear signal prediction
After determining the number of significant delays from the autocorrelation function, use TIMEDELAYNET.

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