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seeking advice with rounding NN output and vec2ind
There are two binary conditions (four combinations) to consider 1. Type of targets a. Mutually exclusive targets: ...

約10年前 | 0

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How to express input importance in Neural network
I don't see the need. Correctly trained, the net is a universal approximator. Therefore it should have no trouble finding a suit...

約10年前 | 0

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How can I get the weights of neural network in MATLAB?
IW = net.IW{1,1}; LW = net.LW{2,1}; b1 = net.b{1}; b2 = net.b{2}; You should get the same outputs if you correctly normaliz...

約10年前 | 1

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NN Data Fitting - minimum
See the help and doc documentation for 1. min 2. max 3. minmax Hope this helps. *Thank you for formally a...

約10年前 | 0

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if i have weight matrix and biases matrix of specified trained network, how i can use these weights matrix and biases matrix in create new feed forward neural network to predict new data ?
See the help and doc documentation for GETWB and SETWB close all, clear all, clc [ x t ] = simplefit_dataset; [...

約10年前 | 0

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how to use feature matrix for neural network
input = ... target = [ repmat([1;0],1,80) repmat([0;1],1,40); [ I N ] = size(input); % [ 16 120 ] [ O N ] = size(tar...

約10年前 | 0

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validation performance or test performance?
I have posted MANY detailed explanations of the separate data-division roles of the training, validation and testing subsets in ...

約10年前 | 1

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Mapminmax process function causes that NN incorrectly simulates outputs
close all, clear all, clc, plt=0, tic x = -10:10; N = length(x) trueind = 1 + [zeros(1,11) ones(1,10)]; t = ...

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NARX Time Delay Intuition
You are correct. I have mentioned this in several previous posts of the NEWSGROUP and ANSWERS. Zero input delay is always ...

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how to set target for neural network
[ I N ] = size(input) % [ 128 1922 ] [ O N ] = size(target) %[ 35 1922 ] Where target columns are columns of the unit mat...

約10年前 | 1

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How to change transfer function in hidden layer?
PLEASE DO NOT POST NEURAL NETWORK QUESTIONS IN BOTH THE NEWSGROUP AND ANSWERS.

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Neural network with multiple inputs and single output - How to improve the performance of neural network?
PLEASE DO NOT POST THE SAME NEURAL NET QUESTION IN BOTH THE NEWSGROUP AND ANSWERS Greg

約10年前 | 0

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validation performance or test performance?
I have posted MANY detailed explanations of the separate data-division roles of the training, validation and testing subsets in ...

約10年前 | 1

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Problem with validation check number for MATLAB neural network
% Problem with validation check number for MATLAB neural network % Asked by Ady on 3 Apr 2016 at 17:06 % Hi all. My neura...

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How can we train images in matlab using artificial neural network?
Typically, especially for huge sizes, some form of feature extraction is used to reduce the size of the input. So, instead of...

10年以上前 | 0

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how to implement neural network for eeg motor imagery classification?
If you have c classes, the target columns should be columns of the c-dimension unit matrix eye(c). [ I N ] = size(input) % ...

10年以上前 | 0

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To optimize a neural network by giving 46*3 inputs from excel and getting 46*1 output using a genetic algorithm
After you get your data from EXCEL, use my corrected version of the algorithm posted in the NEWSREADER. By the way, it is not...

10年以上前 | 0

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if i trained the neural network and i get the weights matrix and biases matrix, how i can use these matrices in predicting new data in new network if i do not have the training data later ??
In the following, notice the difference between design data and training data NOMENCLATURE: data = design + nondes...

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How can i train a neural network for classification,using newrb
SEARCH WORDS NEWSGROUP ANSWERS NEWRB 221 84 NEWRB GREG 148 57...

10年以上前 | 0

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Neural network with multiple inputs and single output - how to change processing functions?
% NO SEMICOLONS !!! clc net = fitnet transferFcn1 = net.layers{1}.transferFcn transferFcn2 = net.layers{2}.transfer...

10年以上前 | 0

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neural network to detect points in signal
You don't need the complexity of a neural network. Just use something like d = 5 y = zeros(1,100); for i = 1:100-...

10年以上前 | 0

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different result neural network classification
Yes. The default trn/val/tst data-division and weight initializations are all random. For reproducibility, initialize the RNG...

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neural nets: validation vs testing?
NOTE THE DIFFERENCE BETWEEN DESIGN AND TRAINING 1. Data Division DATA = TRAINING + VALIDATION + TESTING + UNSEEN 2. De...

10年以上前 | 2

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How can I make 2 hidden layers in neural network toolkit?
Regression/Curvefitting net = fitnet([H1,H2]); Classification/Pattern-Recognition net = patternnet([H1,H2]); Time ...

10年以上前 | 0

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How evaluate multi-step forecasting performance for large dataset?
How evaluate multi-step forecasting performance for large dataset? Asked by EanX 14Apr2014 A. Design an openloop net 1....

10年以上前 | 0

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NARx Neural Network inputs
Yes. However, input nodes are not neurons. Hidden and output nodes are neurons often associated with a nonlinear transfer ...

10年以上前 | 0

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How to calculate Accuracy, Recall and Precision for multi-class multi-lable Fuzzy inference system in MATLAB?
Use BOTH the help and doc commands on confusion confusionmat plotconfusion roc plotroc You can find additional cl...

10年以上前 | 0

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Using fitnet in matlab
yes hope this helps. greg

10年以上前 | 1

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artificial neural network issue : Error using * and .*
If you get an inner dimension multiplication error for C = A*B Then check the inner dimensions via whos A B You c...

10年以上前 | 0

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How can i train neural network for letter recognition using matlab and she to has 26 outputs like 26 letters in english alphabet?
The target columns should be columns of the unit matrix eye(26) The relationships between the target and class in...

10年以上前 | 1

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