Fereshteh....

2014 年からアクティブ

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質問

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...

約10年前 | 1 件の回答 | 0

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質問

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...

約10年前 | 1 件の回答 | 0

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質問

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...

10年以上前 | 1 件の回答 | 1

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質問

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...

10年以上前 | 0 件の回答 | 0

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質問

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 ...

10年以上前 | 2 件の回答 | 0

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質問

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...

10年以上前 | 0 件の回答 | 0

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質問

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...

約11年前 | 1 件の回答 | 0

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質問

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...

約11年前 | 2 件の回答 | 0

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質問

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...

約11年前 | 1 件の回答 | 0

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質問

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...

約11年前 | 0 件の回答 | 0

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質問

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...

11年以上前 | 0 件の回答 | 0

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質問

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...

11年以上前 | 0 件の回答 | 0

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質問

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...

12年弱前 | 1 件の回答 | 0

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質問

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...

12年弱前 | 0 件の回答 | 0

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質問

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...

12年弱前 | 0 件の回答 | 0

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質問

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 ...

12年弱前 | 1 件の回答 | 0

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