Prasanna
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Contribute at least one answer each month for 6 consecutive months
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Feeds
Answered
Inconsistent forecasts using LSTM deep learning model
Hi Manny, Different predictions from a LSTM model on the same input data across many runs is due to a variety of factors as ...
Inconsistent forecasts using LSTM deep learning model
Hi Manny, Different predictions from a LSTM model on the same input data across many runs is due to a variety of factors as ...
24 days ago | 0
Answered
Getting this error" Invalid training data. Sequence responses must have the same sequence length as the corresponding predictors."
Hi Sumana, The error message obtained indicates that the sequence length of your predictors('XTrain') and responses('YTrain'...
Getting this error" Invalid training data. Sequence responses must have the same sequence length as the corresponding predictors."
Hi Sumana, The error message obtained indicates that the sequence length of your predictors('XTrain') and responses('YTrain'...
25 days ago | 0
Answered
what is problem in ResNet50 Code, Error: Check for incorrect argument data type or missing argument in call to function 'activations'. line 30
Hi Muhammad, The error “Check for incorrect argument data type or missing argument in call to function activations” you are ...
what is problem in ResNet50 Code, Error: Check for incorrect argument data type or missing argument in call to function 'activations'. line 30
Hi Muhammad, The error “Check for incorrect argument data type or missing argument in call to function activations” you are ...
26 days ago | 0
Answered
How to increase feed-forward NN training performance?
Hi Osman, When training a neural network using MATLAB's ‘trainbr’ (Bayesian Regularization Backpropagation) function, severa...
How to increase feed-forward NN training performance?
Hi Osman, When training a neural network using MATLAB's ‘trainbr’ (Bayesian Regularization Backpropagation) function, severa...
26 days ago | 0
Answered
Invalid training data. Predictors must be a numeric array, a datastore, or a table. For networks with sequence input, predictors can also be a cell array of sequences.
Hi Neeta, The error message you are getting indicates training data provided to the ‘trainNetwork’ function is not in the ex...
Invalid training data. Predictors must be a numeric array, a datastore, or a table. For networks with sequence input, predictors can also be a cell array of sequences.
Hi Neeta, The error message you are getting indicates training data provided to the ‘trainNetwork’ function is not in the ex...
26 days ago | 0
Answered
How to change size of input layer from 224x224x3 to 224x224x1 in Pretrained GoogLeNet convolutional neural network?
Hi Jahandad, To adapt a pre-trained model like GoogleNet or AlexNet for 2D (224*224*1) images instead of 3D images (224*224*...
How to change size of input layer from 224x224x3 to 224x224x1 in Pretrained GoogLeNet convolutional neural network?
Hi Jahandad, To adapt a pre-trained model like GoogleNet or AlexNet for 2D (224*224*1) images instead of 3D images (224*224*...
26 days ago | 0
Answered
Estimating LASSO regression without intercept
Hi Vincent, To impose the constraint "intercept=0" when estimating LASSO regression in MATLAB, you can specify the 'Intercep...
Estimating LASSO regression without intercept
Hi Vincent, To impose the constraint "intercept=0" when estimating LASSO regression in MATLAB, you can specify the 'Intercep...
26 days ago | 0
Answered
bayesian additive regression trees
Hi Mohammadfarid, You can implement BART in MATLAB by following the general algorithm described in the BART literature. To i...
bayesian additive regression trees
Hi Mohammadfarid, You can implement BART in MATLAB by following the general algorithm described in the BART literature. To i...
27 days ago | 0
Answered
Default mini-batch size in the Fitrnet function
Hi Karthik, The ‘fitrnet’ function in MATLAB's Statistics and Machine Learning Toolbox is used for training neural network r...
Default mini-batch size in the Fitrnet function
Hi Karthik, The ‘fitrnet’ function in MATLAB's Statistics and Machine Learning Toolbox is used for training neural network r...
27 days ago | 0
Answered
Hi, I have the acceleration data, how to get plot of ensemble autocorrelation??
Hi Rajkumar, To plot the ensemble autocorrelation of acceleration data in MATLAB, refer the following steps: Load and prepa...
Hi, I have the acceleration data, how to get plot of ensemble autocorrelation??
Hi Rajkumar, To plot the ensemble autocorrelation of acceleration data in MATLAB, refer the following steps: Load and prepa...
27 days ago | 0
Answered
HelloI want to implement hierarchical clustering using basic code
Hi Ali, To implement hierarchical clustering without using inbuild MATLAB functions, you can perform the following: Prepare...
HelloI want to implement hierarchical clustering using basic code
Hi Ali, To implement hierarchical clustering without using inbuild MATLAB functions, you can perform the following: Prepare...
1 month ago | 0
Answered
How can I use fitnet coefficients of my older neural network in training a new one?
Hi Vahagn, To use the weights and biases from your first trained neural network to initialize a new network with additional ...
How can I use fitnet coefficients of my older neural network in training a new one?
Hi Vahagn, To use the weights and biases from your first trained neural network to initialize a new network with additional ...
1 month ago | 0
Answered
how to find the filter size, kernels, stride and padding for the next convolutional layer in a neural network
Hi Aiman, Designing a neural network architecture like AlexNet involves a mix of empirical experimentation, domain knowledge...
how to find the filter size, kernels, stride and padding for the next convolutional layer in a neural network
Hi Aiman, Designing a neural network architecture like AlexNet involves a mix of empirical experimentation, domain knowledge...
1 month ago | 0
Answered
how to get frequency bands of eeg?
Hi Vaggelis, To extract specific frequency bands like the mu and beta bands from the EEG signals, you can decompose the give...
how to get frequency bands of eeg?
Hi Vaggelis, To extract specific frequency bands like the mu and beta bands from the EEG signals, you can decompose the give...
1 month ago | 0
Answered
about using HYSDEL toolbox
Hi Mohamed, The error obtained suggests that the ‘hysdel3’ function is not able to find the file during the compilation proc...
about using HYSDEL toolbox
Hi Mohamed, The error obtained suggests that the ‘hysdel3’ function is not able to find the file during the compilation proc...
1 month ago | 0
Answered
Predicting air moisture content at high altitude
Hi Ennes, To model the humidifier for your PEM fuel cell at high altitude, you need to determine the moisture content in the...
Predicting air moisture content at high altitude
Hi Ennes, To model the humidifier for your PEM fuel cell at high altitude, you need to determine the moisture content in the...
1 month ago | 0
Answered
How do I make my neural network consistent?
Hi Vahagn, To improve the consistency of your neural network, when solving a DSGE model with a zero lower bound, you can per...
How do I make my neural network consistent?
Hi Vahagn, To improve the consistency of your neural network, when solving a DSGE model with a zero lower bound, you can per...
2 months ago | 0
Answered
Composite Boole's Rule
Hi Muhammad, To create a function to numerically integrate equation using the newton-cotes composite boole’s rule, you can p...
Composite Boole's Rule
Hi Muhammad, To create a function to numerically integrate equation using the newton-cotes composite boole’s rule, you can p...
2 months ago | 0
Answered
wavelet decomposition on 2D EEG data
Hi Saima, To generate a variable for wavelet decomposition from your 2D EEG dataset in MATLAB, you can directly create a cell a...
wavelet decomposition on 2D EEG data
Hi Saima, To generate a variable for wavelet decomposition from your 2D EEG dataset in MATLAB, you can directly create a cell a...
2 months ago | 0
Answered
viscous damper Dissipation energy code
Hi Jasem, To develop MATLAB code for the instantaneous integration of dissipated energy in a viscous damper, you can refer t...
viscous damper Dissipation energy code
Hi Jasem, To develop MATLAB code for the instantaneous integration of dissipated energy in a viscous damper, you can refer t...
2 months ago | 0
Answered
How to select multiple channels of time-frequency at EEGLAB?
Hi Kengo, To select multiple channels for time-frequency analysis in EEGLAB, you can perform the following steps: Load your EE...
How to select multiple channels of time-frequency at EEGLAB?
Hi Kengo, To select multiple channels for time-frequency analysis in EEGLAB, you can perform the following steps: Load your EE...
2 months ago | 0
Answered
NARX - Multi step prediction
Hi Vladislav, To reduce the error in closed-loop mode, you can try the following steps: Increase the training data by provi...
NARX - Multi step prediction
Hi Vladislav, To reduce the error in closed-loop mode, you can try the following steps: Increase the training data by provi...
2 months ago | 0
Answered
How to convert 1D-ECG signal into 2D-ECG image
Hi Sanjay, The Pan-Tompkins algorithm is mainly used for QRS detection, and while it doesn’t inherently convert 1D signals t...
How to convert 1D-ECG signal into 2D-ECG image
Hi Sanjay, The Pan-Tompkins algorithm is mainly used for QRS detection, and while it doesn’t inherently convert 1D signals t...
2 months ago | 0
Answered
wavelet coherence significance test
Hi yx, To evaluate the significance of wavelet coherence when using the ‘wcoherence’ function in MATLAB, refer the following...
wavelet coherence significance test
Hi yx, To evaluate the significance of wavelet coherence when using the ‘wcoherence’ function in MATLAB, refer the following...
2 months ago | 0
Answered
MATLAB integration w/ STK (generateTLE)
Hi Nathan, You can troubleshoot the command failure when automating TLE generation in MATLAB using STK with the following: Ver...
MATLAB integration w/ STK (generateTLE)
Hi Nathan, You can troubleshoot the command failure when automating TLE generation in MATLAB using STK with the following: Ver...
2 months ago | 0
Answered
how to extract non-linear features like Lyapunov exponent or Fractal or correlation dimensions from an EEG signal?
Hi Alireza, To perform non-linear feature extraction on your EEG signal in MATLAB, you can use several methods present in vario...
how to extract non-linear features like Lyapunov exponent or Fractal or correlation dimensions from an EEG signal?
Hi Alireza, To perform non-linear feature extraction on your EEG signal in MATLAB, you can use several methods present in vario...
2 months ago | 0
Answered
How do I access Bloomberg FSRC screens in Matlab?
Hi Neil, Accessing Bloomberg FSRC screens in MATLAB is a bit more specialized compared to the 'eqs' function. However you can...
How do I access Bloomberg FSRC screens in Matlab?
Hi Neil, Accessing Bloomberg FSRC screens in MATLAB is a bit more specialized compared to the 'eqs' function. However you can...
2 months ago | 0
Answered
Can eConnectome be used for sEEG data?
Hi Selena, eConnectome is a MATLAB-based toolbox designed primarily for EEG/MEG data analysis and visualization. While it is ...
Can eConnectome be used for sEEG data?
Hi Selena, eConnectome is a MATLAB-based toolbox designed primarily for EEG/MEG data analysis and visualization. While it is ...
2 months ago | 0
Answered
How can I Add new scenarios to highway lane change planner
Hi Mohammad, To add new driving scenarios to the highway lane change planner and controller in MATLAB, refer the following st...
How can I Add new scenarios to highway lane change planner
Hi Mohammad, To add new driving scenarios to the highway lane change planner and controller in MATLAB, refer the following st...
2 months ago | 0
Answered
I want to implement the Hidden Markov Model(HMM) for the classification in EEG signal.So please suggest me how will i implement this code for HMM in MATLAB
Hi Sachin, To implement a Hidden Markov Model for classifying EEG signals in MATLAB, refer the following steps: Load and Pre...
I want to implement the Hidden Markov Model(HMM) for the classification in EEG signal.So please suggest me how will i implement this code for HMM in MATLAB
Hi Sachin, To implement a Hidden Markov Model for classifying EEG signals in MATLAB, refer the following steps: Load and Pre...
2 months ago | 0
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