Answered

train network error. reshape number of elements must not change. Use [] to automatically calculate the dimension size.

Hi You are having an input of size MxN and you are directly reshaping it to a vector of length 1x1. Before the fullyConnectedLa...

train network error. reshape number of elements must not change. Use [] to automatically calculate the dimension size.

Hi You are having an input of size MxN and you are directly reshaping it to a vector of length 1x1. Before the fullyConnectedLa...

9 mois ago | 0

Answered

How to solve equations with functions which contain unknown

Hi If 'As' is a known variable then define in your code and if it is unknown and symbolic variable then define using syms funct...

How to solve equations with functions which contain unknown

Hi If 'As' is a known variable then define in your code and if it is unknown and symbolic variable then define using syms funct...

9 mois ago | 0

| accepted

Answered

how can I fit the regression model to a periodic data?

Hi You can use the Curve Fitting Toolbox for this application. There are several possible ways to do that. You can refer to thi...

how can I fit the regression model to a periodic data?

Hi You can use the Curve Fitting Toolbox for this application. There are several possible ways to do that. You can refer to thi...

9 mois ago | 0

Answered

Error using vertcat Dimensions of arrays being concatenated are not consistent.

Hi By looking at your code, s = [s; zeros(20*L,1)]; you want to append the rows which consists of zeros. You have mentioned ...

Error using vertcat Dimensions of arrays being concatenated are not consistent.

Hi By looking at your code, s = [s; zeros(20*L,1)]; you want to append the rows which consists of zeros. You have mentioned ...

9 mois ago | 0

Answered

how to use deep learning with multivariable?

Hi It is not clear what kind of data you are having and what you want to do with that.Explain it. Also confirm whether you are...

how to use deep learning with multivariable?

Hi It is not clear what kind of data you are having and what you want to do with that.Explain it. Also confirm whether you are...

9 mois ago | 0

Answered

DICOM data as input for Deep Learning

Hi It seems that you are unable to load the mat file into the network. Your input is in mat file format. So, create a custom re...

DICOM data as input for Deep Learning

Hi It seems that you are unable to load the mat file into the network. Your input is in mat file format. So, create a custom re...

9 mois ago | 0

| accepted

Answered

segmentGroundFromLidarData for pcd file

Hi The input of the function segmentGroundFromLidarData will be a point cloud. You mentioned that your file is having mxn array...

segmentGroundFromLidarData for pcd file

Hi The input of the function segmentGroundFromLidarData will be a point cloud. You mentioned that your file is having mxn array...

9 mois ago | 0

Answered

CNN for video frame prediction

Hi There are some papers based on frame prediction which are using CNN , autoencoder, etc based approach. You can pick anyone o...

CNN for video frame prediction

Hi There are some papers based on frame prediction which are using CNN , autoencoder, etc based approach. You can pick anyone o...

10 mois ago | 0

Answered

Classification of Leaf Hydration state based on Leaf Colour

Hi You are having very less data to use deep learning, you can use those data at first. Use data augmentation to increase the d...

Classification of Leaf Hydration state based on Leaf Colour

Hi You are having very less data to use deep learning, you can use those data at first. Use data augmentation to increase the d...

10 mois ago | 0

Answered

Morphological Transformation, remove border border of a closed image

Hi Using morphological operations and connected components algorithm, the problem can be solved with the minor loss of bottom ...

Morphological Transformation, remove border border of a closed image

Hi Using morphological operations and connected components algorithm, the problem can be solved with the minor loss of bottom ...

10 mois ago | 0

| accepted

Answered

How to export predicted multi-output data from trained neural network?

Hi To predict the model on test data, use 'predict' function instead of 'sim'. For more information, refer to the documentatio...

How to export predicted multi-output data from trained neural network?

Hi To predict the model on test data, use 'predict' function instead of 'sim'. For more information, refer to the documentatio...

10 mois ago | 0

| accepted

Answered

Single element of Input vector in classifying patterns with a Shallow Neural Network

Hi As per your question, you have a 9 dimensional dataset with a classification of benignitiy or malignancy of breast cancer. ...

Single element of Input vector in classifying patterns with a Shallow Neural Network

Hi As per your question, you have a 9 dimensional dataset with a classification of benignitiy or malignancy of breast cancer. ...

10 mois ago | 0

Answered

An elman neural network with mulltiple inputs

Hi You can use the elmannet as folllows: net = elmannet(1:3,10); %%% NumDelays=3 [Xs,Xi,Ai,Ts] = preparets(net,X,T); net = ...

An elman neural network with mulltiple inputs

Hi You can use the elmannet as folllows: net = elmannet(1:3,10); %%% NumDelays=3 [Xs,Xi,Ai,Ts] = preparets(net,X,T); net = ...

10 mois ago | 0

Answered

svm training and classification

Hi You can use the function fitcsvm as follows: SVMModel = fitcsvm(xdata,group,'KernelFunction', 'linear'); [label,score] = p...

svm training and classification

Hi You can use the function fitcsvm as follows: SVMModel = fitcsvm(xdata,group,'KernelFunction', 'linear'); [label,score] = p...

10 mois ago | 0

Answered

Architecture of convolutional autoencoders in Matlab 2019b

Hi You can define custom architecture of auoencoder using deep learning layers. You can refer to this documentation for the li...

Architecture of convolutional autoencoders in Matlab 2019b

Hi You can define custom architecture of auoencoder using deep learning layers. You can refer to this documentation for the li...

10 mois ago | 0

| accepted

Answered

adding noise increased accuracy after training

Hi Noise addition acts as regularizer and it reduce overfitting. The model becomes more robust, so the accuracy of the model in...

adding noise increased accuracy after training

Hi Noise addition acts as regularizer and it reduce overfitting. The model becomes more robust, so the accuracy of the model in...

10 mois ago | 0

Answered

Why is the hold on function causing 3 graphs?

Hi Based on the parameters you have specified, the function kutta has been called for three times which resuls in 3 plots insid...

Why is the hold on function causing 3 graphs?

Hi Based on the parameters you have specified, the function kutta has been called for three times which resuls in 3 plots insid...

10 mois ago | 0

Answered

Deep learning regression network improvements?

Hi By looking at your network design, it seem that you are having input data with dimension of 4 and trying to regress the out...

Deep learning regression network improvements?

Hi By looking at your network design, it seem that you are having input data with dimension of 4 and trying to regress the out...

10 mois ago | 0

| accepted

Answered

Reduce the image size while maintaining the quality. Use dct2 with RGB image. when I Concatenate the RGB I get white image

Hi The image get converted to double format, convert back to uint8 format to show correctly. For example: imshow(uint8(rgbIma...

Reduce the image size while maintaining the quality. Use dct2 with RGB image. when I Concatenate the RGB I get white image

Hi The image get converted to double format, convert back to uint8 format to show correctly. For example: imshow(uint8(rgbIma...

10 mois ago | 0

Answered

how can I smoothly attenuate a peak in a signal

Hi You can refer to the documentation page of msloess function and mssgolay function which are used for the function smootheni...

how can I smoothly attenuate a peak in a signal

Hi You can refer to the documentation page of msloess function and mssgolay function which are used for the function smootheni...

10 mois ago | 0

Answered

trainlm predict value & switch

Hi In my understanding, you want classification output and you are getting regression output. Convert the variable 't' into a ...

trainlm predict value & switch

Hi In my understanding, you want classification output and you are getting regression output. Convert the variable 't' into a ...

10 mois ago | 0

Answered

How to centering an Silhouette image

Hi The image is gray scale with one object and the object is present in the right half of the image, so the usual approch could...

How to centering an Silhouette image

Hi The image is gray scale with one object and the object is present in the right half of the image, so the usual approch could...

10 mois ago | 0

| accepted

Answered

Amplitude of the convoluted signal?

Hi The amplitude of the convoluted signal will be the sum of the product of elements of the two vectors with different range o...

Amplitude of the convoluted signal?

Hi The amplitude of the convoluted signal will be the sum of the product of elements of the two vectors with different range o...

11 mois ago | 0

Answered

Step Response of a transfer Function with a Multiple Term Numerator.

Hi You can use 'conv' function to find the terms in polynomial form (or in a single term). For your case, you can follow the fo...

Step Response of a transfer Function with a Multiple Term Numerator.

Hi You can use 'conv' function to find the terms in polynomial form (or in a single term). For your case, you can follow the fo...

11 mois ago | 0

Answered

Empty sym: 0-by-1 Error

Hi Age638 and Rad7_6(t) are not defined. First defined these variable/ function in the code. Hope it will help.

Empty sym: 0-by-1 Error

Hi Age638 and Rad7_6(t) are not defined. First defined these variable/ function in the code. Hope it will help.

11 mois ago | 0

Answered

Absolute error between each parameter of the ground truth and estimated planes?

Hi You can find the absolute error between ground truth and estimated plane by taking the absolute value of their difference u...

Absolute error between each parameter of the ground truth and estimated planes?

Hi You can find the absolute error between ground truth and estimated plane by taking the absolute value of their difference u...

11 mois ago | 0

Answered

Training data and Training target in Neural Networks

Hi You have correctly divided the data using randperm. Since you didnâ€™t have ground truth, you are taking last 8750 as ground ...

Training data and Training target in Neural Networks

Hi You have correctly divided the data using randperm. Since you didnâ€™t have ground truth, you are taking last 8750 as ground ...

12 mois ago | 0

Answered

shiftinfgand plotting descrete signal

Hi You can as follow: X=[2,-2,3,4,-4]; N=length(X); X1=(-1:N-1-1); X2=(2:N+2-1); figure;stem(X1,X) figure;stem(X2,X...

shiftinfgand plotting descrete signal

Hi You can as follow: X=[2,-2,3,4,-4]; N=length(X); X1=(-1:N-1-1); X2=(2:N+2-1); figure;stem(X1,X) figure;stem(X2,X...

12 mois ago | 0

Answered

How to detect bright thick fibers around boundary?

Hi Zeynab By looking at the image and size of fibers, a possible approach could be the threshold-based approach to segment the...

How to detect bright thick fibers around boundary?

Hi Zeynab By looking at the image and size of fibers, a possible approach could be the threshold-based approach to segment the...

12 mois ago | 0

Answered

Semantic segmentation evaluation results

Hi David The function evaluateSemanticSegmentation computes the different metrics to evaluate the quality of segmentation resu...

Semantic segmentation evaluation results

Hi David The function evaluateSemanticSegmentation computes the different metrics to evaluate the quality of segmentation resu...

12 mois ago | 0