Fereshteh....

Con actividad desde 2014

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Indicating Classes' numbers and their effects on classification results in Neural network!
I have written a code about classification of 3 groups of data in a supervised classification. The odd thing is that the way I d...

alrededor de 10 años hace | 1 respuesta | 0

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Newff vs patternet in my program
I have written a code , the purpose of the code is classification of EEG datasets related to emotion, I have used both newff and...

alrededor de 10 años hace | 1 respuesta | 0

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why doesn't overfitting happen ?
I wrote a code for classification, using a” patternnet “neural network to classify a dataset which is 2D two spiral dataset, all...

más de 10 años hace | 1 respuesta | 1

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Artificial high dimension data sets for classification problems
I do need artificial high dimensional data sets (for example 20D) , for a classification problem to evaluate my classifiers. whe...

más de 10 años hace | 0 respuestas | 0

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geneating high dimensioal banana shaped data sets or any artificial data sets
hi i do need to generate high dimensional banana shaped data sets in my thesis , actually i need to evaluate my classification ...

más de 10 años hace | 2 respuestas | 0

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I DO NEED HELP, problem with number of neurons in hidden layer of feedforward neural network
I do need some one to follow my code, i have attached my m-file here! I don’t know what the hell is wrong with my code whatever...

más de 10 años hace | 0 respuestas | 0

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how it is possible to have overfitting before the network learn properly?
my question is when my network has a performance about 90 - 98% i mean my learning error is about 98%,(I suppose such performanc...

alrededor de 11 años hace | 1 respuesta | 0

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I cannot get to an stable neural network :/
i have written a code it is about training a neural network , no matter what i do its training performance is not stable , i kno...

alrededor de 11 años hace | 2 respuestas | 0

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differences between net = newff(P,T,S,TF,BTF,BLF,PF,IPF,OPF,DDF) and net = newff(PR,[S1 S2...SNl],{TF1 TF2...TFNl},BTF,BLF,PF) ?
I thought there is no differences between them and just that in the first one we put target at first and in the second one we pu...

alrededor de 11 años hace | 1 respuesta | 0

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HELP :( high learning error or low performance in neural network classifying ?
i did write this code, it is a simple code to classify 685, twelve dimensional data in to 3 classes, class 1 and 2 and 3 , my...

alrededor de 11 años hace | 0 respuestas | 0

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How to generate new synthesize data (signals) ?
my work is to make a reliable lie detector, but unfortunately we face with lack of sufficient data, so we have decided to genera...

más de 11 años hace | 0 respuestas | 0

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How to find distribution function of given data?
I have some data(insufficient data, I mean I have just few data) that I want to find the best distribution function which can de...

más de 11 años hace | 0 respuestas | 0

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how to calculate the distance between two centers in K-means algorithm?
I need to get access to centers which are generated in each iteration of K-means algorithm to calculate the distance between to...

casi 12 años hace | 1 respuesta | 0

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How to Saveg and collect centers in K-means algorithm?
I need to save and collect centers in each iteration of K-means algorithm, I changed the kmeans algorithm at 407 by adding a lin...

casi 12 años hace | 0 respuestas | 0

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How to Saveg and collect centers in K-means algorithm?
I need to save and collect centers in each iteration of K-means algorithm, I changed the kmeans algorithm at 407 by adding a lin...

casi 12 años hace | 0 respuestas | 0

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I don't know how to set forty centers as in discribed as below, so i nee d help with it please!
1 partitions 20000 input points into 40 clusters. The dimensions of the data being tested are 24, 32, and 40, respectively. In ...

casi 12 años hace | 1 respuesta | 0

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