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anurag kulshrestha


Indian Institute of Information Technology

Last seen: fast 4 Jahre vor |  Aktiv seit 2015

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Multi step ahead forecasting with LSTM
How to perform multi-step ahead forecasting with LSTM. I want to predict 2,3, and 4 time stesp ahead prediction with LSTM? Plea...

etwa 4 Jahre vor | 2 Antworten | 0

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Number of parameters of a LSTM network
Please kindly tell how to fnd out the number of parameters of a trained LSTM network? As "getwb(net)" is not working Thanks in ...

etwa 4 Jahre vor | 0 Antworten | 0

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Mutli step ahead prediction with LSTM (sequence to sequence regression)
I have three explanatory variables and one dependent variable. The data is time series data. I am performing sequence to sequenc...

mehr als 4 Jahre vor | 0 Antworten | 1

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Multi step ahead forecasting with Radial basis function neural network
I want to forecast multi step (k=6) ahead with Radial basis function neural network (RBFNN) with time series data. I have one ou...

fast 5 Jahre vor | 0 Antworten | 0

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LSTM time series hyperparameter optimization using bayesian optimization
I am working with time series regression problem. I want to optimize the hyperparamters of LSTM using bayesian optimization. I h...

fast 5 Jahre vor | 3 Antworten | 0

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How to prepare data for time series prediction using elman neural network?
I have a single time series with 133 data points. I want to predict 1,2, 4, and 6 steps ahead. But how to prepare data for elman...

mehr als 6 Jahre vor | 0 Antworten | 0

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Singular Spectrum Analysis with "n" time steps ahead
I have a univariate time series with 133 time steps. I want to predict 'n' time steps ahead with singular spectrum analysis (SSA...

mehr als 6 Jahre vor | 0 Antworten | 0

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How to format the input data for ANFIS time series prediction for 1,2 or 6 steps ahead ?
I have 133 time steps.I have split 133 time steps into 107 points for training and the rest 26 for checking. I dont understand h...

fast 7 Jahre vor | 0 Antworten | 0

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How to divide the data using "divideblock" for training and testing , excluding validation dataset in NAR network for time series prediction.
I am using NAR network for time series prediction. I have to divide my datset of 133 time points into training and tetsing datas...

fast 7 Jahre vor | 1 Antwort | 0

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How to predict 1 and 3 time steps with time series in NAR and after each forecast a retraining has to be done by increasing the size of the training set by one period and sliding validation set by another period till last test set period
My time series data has 150 points. I am using NARNET. I divide the data using "divideind" and then predict the value one time p...

fast 7 Jahre vor | 1 Antwort | 0

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Beantwortet
How can I use the Genetic Algorithm (GA) to train a Neural Network in Neural Network Toolbox?
the above code is obsolete in Matlab R2010a. this code is not minimizing the mse function of ann.

fast 9 Jahre vor | 0

Beantwortet
To optimize a neural network of multiple inputs using a genetic algorithm.
I applied the above code for a single input with 3 hidden neurons and a single output in Matlab 7.10.1(R 2010a). But mse is not ...

fast 9 Jahre vor | 0

Frage


Can anyboby help me to decode the following code and tell waht the code is actually doing?
%routine 1 %For feed-forward neural networks and genetics clear all; load file.mat transfer_function=4; % ...

etwa 9 Jahre vor | 0 Antworten | 0

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