Fereshteh....

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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...

etwa 10 Jahre vor | 1 Antwort | 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...

mehr als 10 Jahre vor | 1 Antwort | 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...

mehr als 10 Jahre vor | 1 Antwort | 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...

mehr als 10 Jahre vor | 0 Antworten | 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 ...

mehr als 10 Jahre vor | 2 Antworten | 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...

fast 11 Jahre vor | 0 Antworten | 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...

etwa 11 Jahre vor | 1 Antwort | 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...

etwa 11 Jahre vor | 2 Antworten | 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...

mehr als 11 Jahre vor | 1 Antwort | 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...

mehr als 11 Jahre vor | 0 Antworten | 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...

fast 12 Jahre vor | 0 Antworten | 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...

fast 12 Jahre vor | 0 Antworten | 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...

etwa 12 Jahre vor | 1 Antwort | 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...

etwa 12 Jahre vor | 0 Antworten | 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...

etwa 12 Jahre vor | 0 Antworten | 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 ...

etwa 12 Jahre vor | 1 Antwort | 0

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