Answered
How to remove outlier from training data before training artificial neural networks ?
Use zscore or mapstd to transform to zero-mean/unit-variance. Plot Decide how many standard deviations from the mean to s...

12 years ago | 0

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Answered
Zero-weights initialization in feedforward network
You have to define a net via net = newff before you can assign any properties or values. With OBSOLETE functions like newff, ...

12 years ago | 0

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Answered
difference between true and apparent error in neural network
Where did you find that terminology? There are several quantities that can be identified. 1. The underlying error-free I/...

12 years ago | 0

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Answered
Custom transfer function much slower than standard transfer functions
Just modify the code for radbas. type radbas *Thank you for formally accepting my answer.* Greg

12 years ago | 0

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plot the evolution of responce for every input variable of a neural network after trainning
Set 3 of the variables equal to their mean value. Then vary the other; For example input2 = [ repmat(mean(x(1,:)')',1,N); x(...

12 years ago | 0

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Answered
Face recognition using back propagation network.
How many examples do you have? How many classes? The number of hidden nodes should probably be much smaller than 48 Why...

12 years ago | 0

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About neural network : newbie question
There is no reason to use cells or only train for 10 epochs. Use round to convert the output to {0,1} *Thank you for for...

12 years ago | 1

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Answered
problem with rng during retraining of a neural network
randperm is used without initializing the RNG. *Thank you for formally accepting my answer* Greg

12 years ago | 1

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Answered
how can a I train this whitout using nftool?
help fitnet doc fitnet Use all of the defaults. Hope this helps. *Thank you for formally accepting my answer* Gr...

12 years ago | 0

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Answered
problem with neural network training
Adding noise after each epoch does not sound like a very productive method. Given the number of hidden nodes, design many net...

12 years ago | 2

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Answered
probabilistic neural network coding problem
1. Class 1 has 2 duplicate points and class 2 has 1 duplicate point 2. There is an 8 orders of magnitude difference between v...

12 years ago | 1

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Answered
How to design a nonlinear fitting neural networks with inequility constraints using MATLAB ANN Toolbox ?
NN design is based on a large sample of I/O pairs of data. If you neither have, nor can generate, representative I/O pairs I...

12 years ago | 0

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Answered
Problems with outputs in Neural Networks (in Matlab NN toolbox)
You are experiencing the result of overtraining an overfit network. Training, Validation and Test subsets should, each, be la...

12 years ago | 2

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Answered
2-Class Problem with patternnet
Class 1 target should be [1;0] and class 2 should be [0;1] N1 = 13840, N1trn = 9421, N1val = 2044, N1tst = 2015 N2 = 789...

12 years ago | 1

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Answered
Creating A Layer Recurrent Neural Net with more than 1 Hidden State.
1. What is the definition of a hidden state?...the output of a hidden layer? 2. Why do you think you need a layrecnet instead...

12 years ago | 1

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Answered
??? Error using ==> network.train at 145 Inputs are incorrectly sized for network. Matrix must have 1000 rows.
Transpose your matrices so that inputs and outputs have the same number of columns.

12 years ago | 0

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Answered
How to Initialize the weights randomly and train for 20 different sets of initial weights?
1. I would first consider a. Feature extraction to reduce the size of the matrices b. Data division and an ensemble of...

12 years ago | 2

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Neural Network Times Series ahead prediction in Matlab, how to build input and output data
Perhaps you did not understand me: I do not understand what you want. An example using a MATLAB data would clarify the i...

12 years ago | 1

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Answered
How to Initialize the weights randomly and train for 20 different sets of initial weights?
As far as answering the questions in the title: 1. Random weight initialization is a default 2. Search using gre...

12 years ago | 1

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a question on neural network
The only direct references are my posts in NEWSGROUP and ANSWERS. Search on those variable names to obtain further details. A...

12 years ago | 0

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Answered
Neural Network Times Series ahead prediction in Matlab, how to build input and output data
This is a poor data set for a realistic time-series example. Find a more appropriate example and code using help nndatasets...

12 years ago | 1

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Can anyone help me with a Matlab program to cluster using self organizing maps???
First search on "SOM" >> lookfor som Second, use the commands help and doc to understand functions that a. Deal with c...

12 years ago | 0

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Answered
error ??? Index exceeds matrix dimensions.
Did it ever occur to you that it is self defeating to include code with a data set that is not accessible to those who want to h...

12 years ago | 0

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Answered
How to implement neural network in matlab using newff command
>> help newff newff Create a feed-forward backpropagation network. Obsoleted in R2010b NNET 7.0. Last used in R2010a...

12 years ago | 0

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Answered
Matlab code for Supervised SOM neural network
A net cannot be self-organizing if it is supervised. You should be looking for Learning Vector Quantization Nets >> lookfor l...

12 years ago | 1

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a problem with neural network training
There are MANY thing wrong with your code. 1. Your premise of using a full data design to initialize divided data designs doe...

12 years ago | 0

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Answered
The demos of neural network toolbox on back propagation(BP).
1. a. help fitnet % regression and curve-fitting b. help patternnet % classification and pattern recognition 2. Re...

12 years ago | 1

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Answered
Output value in a Neuraql Network
output = net(input); *Thank you for formally accepting my answer* Greg

12 years ago | 0

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Answered
How can I use a trained neural network as an objective function in GA optimisation
Use the trained network to calculate the MSE on non-training data. Normalized MSE NMSE = MSE/mean(var(target',1)) and "Fract...

12 years ago | 0

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Answered
How can i save/extract values of plotinerrcorr into a workspace sheet?
You could modify the source code. However, it is easier to just compute the values directly using a corrected version of nncorr....

12 years ago | 0

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