Risposto

How to build the Simulink structure of the MPC model?

The issue you're encountering during the "Cosimulate MPC Controller and Nonlinear Plant" step, particularly at the point of buil...

How to build the Simulink structure of the MPC model?

The issue you're encountering during the "Cosimulate MPC Controller and Nonlinear Plant" step, particularly at the point of buil...

8 mesi fa | 0

Risposto

Default LDA fitting algorithm used in fitcdiscr, classification algorithm used by predict, formula for DeltaPredictor property

Linear Discriminant Analysis (LDA) in MATLAB, especially when using the fitcdiscr function, is a powerful method for both classi...

Default LDA fitting algorithm used in fitcdiscr, classification algorithm used by predict, formula for DeltaPredictor property

Linear Discriminant Analysis (LDA) in MATLAB, especially when using the fitcdiscr function, is a powerful method for both classi...

8 mesi fa | 0

Risposto

When I use TCN+DDPG algorithm ，an error was reported at: trainingStats = train(agent,env,trainOpts); : There was an error executing the ProcessExperienceFcn.

The error message you're encountering, "Variables of this type do not support indexing with curly braces," is likely related to ...

When I use TCN+DDPG algorithm ，an error was reported at: trainingStats = train(agent,env,trainOpts); : There was an error executing the ProcessExperienceFcn.

The error message you're encountering, "Variables of this type do not support indexing with curly braces," is likely related to ...

8 mesi fa | 0

Risposto

Is it possible to train a gaussian process regression (GPR) using input and output multidimensional arrays?

Given that you have 100 time series each with 10k data points and 20 characteristics, it seems that you may want to predict one ...

Is it possible to train a gaussian process regression (GPR) using input and output multidimensional arrays?

Given that you have 100 time series each with 10k data points and 20 characteristics, it seems that you may want to predict one ...

8 mesi fa | 0

Risposto

Reinforcement learning agent not being saved during training

In MATLAB, when using the reinforcement learning toolbox and the train function, there is an option to save the agent when certa...

Reinforcement learning agent not being saved during training

In MATLAB, when using the reinforcement learning toolbox and the train function, there is an option to save the agent when certa...

8 mesi fa | 0

Risposto

[Reinforcement Learning] Deny an action already taken by the agent

It seems you want to prevent the reinforcement learning (RL) agent from taking an action that has already been taken in the curr...

[Reinforcement Learning] Deny an action already taken by the agent

It seems you want to prevent the reinforcement learning (RL) agent from taking an action that has already been taken in the curr...

9 mesi fa | 0

Risposto

Clustering 3D data based on Euclidean distance turns out insufficient

Hierarchical clustering is a method that seeks to build a hierarchy of clusters based on a chosen distance metric and linkage cr...

Clustering 3D data based on Euclidean distance turns out insufficient

Hierarchical clustering is a method that seeks to build a hierarchy of clusters based on a chosen distance metric and linkage cr...

9 mesi fa | 1

| accettato

Risposto

IRDataCurve.bootstrap 似乎忽略了 'InstrumentBasis' 参数.

The MATLAB function IRDataCurve.bootstrap is used to create an interest rate curve from market instruments. The 'InstrumentBasis...

IRDataCurve.bootstrap 似乎忽略了 'InstrumentBasis' 参数.

The MATLAB function IRDataCurve.bootstrap is used to create an interest rate curve from market instruments. The 'InstrumentBasis...

9 mesi fa | 0

Risposto

BiLSTM Empty Backward Cell states and Hidden states

Although it might not be a bug, it might be a feature unique to MATLAB's handling of state updates in bidirectional LSTM (BiLSTM...

BiLSTM Empty Backward Cell states and Hidden states

Although it might not be a bug, it might be a feature unique to MATLAB's handling of state updates in bidirectional LSTM (BiLSTM...

9 mesi fa | 0

Risposto

Possible bug in regress when y and x are complex

The MATLAB function `regress` is not designed to handle complex numbers directly. When you pass complex numbers to `regress`, it...

Possible bug in regress when y and x are complex

The MATLAB function `regress` is not designed to handle complex numbers directly. When you pass complex numbers to `regress`, it...

9 mesi fa | 0

Risposto

how to plot prediction and confidence interval for non-parametric distribution?

For non-parametric regression methods like ksdensity (Kernel Density Estimation) or quantile regression, the prediction interval...

how to plot prediction and confidence interval for non-parametric distribution?

For non-parametric regression methods like ksdensity (Kernel Density Estimation) or quantile regression, the prediction interval...

9 mesi fa | 0

Risposto

Is there a supported method for fully connected layers with dlarrays containing complex numbers (2021b)?

Deep Learning Toolbox in the 2021b release indeed introduced support for complex values in dlarray objects. However, certain ope...

Is there a supported method for fully connected layers with dlarrays containing complex numbers (2021b)?

Deep Learning Toolbox in the 2021b release indeed introduced support for complex values in dlarray objects. However, certain ope...

9 mesi fa | 0

Risposto

Fitness function in GA

To develop a fitness function from an Artificial Neural Network (ANN) with two input variables and one output variable, you'll n...

Fitness function in GA

To develop a fitness function from an Artificial Neural Network (ANN) with two input variables and one output variable, you'll n...

9 mesi fa | 0

Risposto

Creating discrete observation space for Reinforcement Learning

In reinforcement learning with MATLAB's Reinforcement Learning Toolbox, the `rlFiniteSetSpec` object is used to define a finite ...

Creating discrete observation space for Reinforcement Learning

In reinforcement learning with MATLAB's Reinforcement Learning Toolbox, the `rlFiniteSetSpec` object is used to define a finite ...

9 mesi fa | 0

Risposto

Definition of minimum and maximum values of each parameter in Definitive Screening Designs runs

The function you're referring to for creating Definitive Screening Designs (DSDs) in MATLAB from the MathWorks File Exchange gen...

Definition of minimum and maximum values of each parameter in Definitive Screening Designs runs

The function you're referring to for creating Definitive Screening Designs (DSDs) in MATLAB from the MathWorks File Exchange gen...

9 mesi fa | 0

Risposto

Using Latin Hyper Cube Sampling for Acquiring Multiple Replicates of an ODE

To use Latin Hypercube Sampling (LHS) for generating your parameter values instead of the uniform random numbers generated by ra...

Using Latin Hyper Cube Sampling for Acquiring Multiple Replicates of an ODE

To use Latin Hypercube Sampling (LHS) for generating your parameter values instead of the uniform random numbers generated by ra...

9 mesi fa | 0

Risposto

Understanding the NumStepsToLookAhead parameter in rlDQNAgentOptions (DQN-based reinforcement learning)

In Deep Q-Networks (DQN), the `NumStepsToLookAhead` parameter in `rlDQNAgentOptions` indeed refers to the use of n-step returns ...

Understanding the NumStepsToLookAhead parameter in rlDQNAgentOptions (DQN-based reinforcement learning)

In Deep Q-Networks (DQN), the `NumStepsToLookAhead` parameter in `rlDQNAgentOptions` indeed refers to the use of n-step returns ...

9 mesi fa | 0

Risposto

RL traning and reward

In MATLAB/Simulink, when working with reinforcement learning, you can save the training data (such as the agent's experience rep...

RL traning and reward

In MATLAB/Simulink, when working with reinforcement learning, you can save the training data (such as the agent's experience rep...

9 mesi fa | 0

Risposto

Disable aoctool interactive pop up window

Unfortunately, aoctool does not have an inherent option to disable the pop-up window while still displaying the results within t...

Disable aoctool interactive pop up window

Unfortunately, aoctool does not have an inherent option to disable the pop-up window while still displaying the results within t...

9 mesi fa | 0

Risposto

Forecasting/prediction multi step ahead with individual events (NARNET Neural Network)

When dealing with multiple time series datasets, such as your 300 different sets of XYZ acceleration during parabolic flights, a...

Forecasting/prediction multi step ahead with individual events (NARNET Neural Network)

When dealing with multiple time series datasets, such as your 300 different sets of XYZ acceleration during parabolic flights, a...

9 mesi fa | 0

Risposto

Does anyone know why Warning: Error occurred while executing the listener callback for event TrainingUpdated defined for class nnet.guis.NNTrainToolModel: Invalid or deleted object. pops up when learning about neural networks?

The warning message you're encountering suggests that there is an issue with the MATLAB Neural Network Toolbox GUI or the object...

Does anyone know why Warning: Error occurred while executing the listener callback for event TrainingUpdated defined for class nnet.guis.NNTrainToolModel: Invalid or deleted object. pops up when learning about neural networks?

The warning message you're encountering suggests that there is an issue with the MATLAB Neural Network Toolbox GUI or the object...

9 mesi fa | 0

Risposto

Testing goodness of fit: P-value

When you get a NaN (Not a Number) result for the p-value from the chi2gof function in MATLAB, it typically indicates that there ...

Testing goodness of fit: P-value

When you get a NaN (Not a Number) result for the p-value from the chi2gof function in MATLAB, it typically indicates that there ...

9 mesi fa | 0

Risposto

Best Post-Hoc method for Friedman?

When you have non-normally distributed data and you're using a non-parametric alternative to one-way ANOVA, such as the Friedman...

Best Post-Hoc method for Friedman?

When you have non-normally distributed data and you're using a non-parametric alternative to one-way ANOVA, such as the Friedman...

9 mesi fa | 0

Risposto

fnval error for a struct spline function

The error message you're encountering in MATLAB indicates that the fnval function is not able to operate on the input provided b...

fnval error for a struct spline function

The error message you're encountering in MATLAB indicates that the fnval function is not able to operate on the input provided b...

9 mesi fa | 0

Risposto

function fnint with a spline

The error message you're encountering in MATLAB 7.10 suggests that the `fnint` function does not recognize the input argument as...

function fnint with a spline

The error message you're encountering in MATLAB 7.10 suggests that the `fnint` function does not recognize the input argument as...

9 mesi fa | 0

Risposto

LDA code for isolated word classification of speech recognition

Linear Discriminant Analysis (LDA) can be used as a technique for feature reduction and classification in speech recognition tas...

LDA code for isolated word classification of speech recognition

Linear Discriminant Analysis (LDA) can be used as a technique for feature reduction and classification in speech recognition tas...

9 mesi fa | 0

Risposto

Extracting information from confusion matrix, classificationLearner

When you're working with the Classification Learner app in MATLAB, you can indeed investigate where your classifier is making mi...

Extracting information from confusion matrix, classificationLearner

When you're working with the Classification Learner app in MATLAB, you can indeed investigate where your classifier is making mi...

9 mesi fa | 0

Risposto

Time Dependant GeometryFromEdges in PDE thermal analysis

Hi Jean, I understand that you want to know if time dependant geometry is possible for PDE thermal analysis. In MATLAB, using...

Time Dependant GeometryFromEdges in PDE thermal analysis

Hi Jean, I understand that you want to know if time dependant geometry is possible for PDE thermal analysis. In MATLAB, using...

10 mesi fa | 0

Risposto

FMP4 Error When Using VideoReader

Hi Brent, The error you're encountering suggests that MATLAB's VideoReader is having trouble initializing the reader for the sp...

FMP4 Error When Using VideoReader

Hi Brent, The error you're encountering suggests that MATLAB's VideoReader is having trouble initializing the reader for the sp...

10 mesi fa | 1

| accettato

Risposto

Any ways for 2D surface fit with particle swarm optimization?

Hi Yunhyeok, I understand that you are trying to use particle swarm optimisation(PSO). The fit function itself does not direct...

Any ways for 2D surface fit with particle swarm optimization?

Hi Yunhyeok, I understand that you are trying to use particle swarm optimisation(PSO). The fit function itself does not direct...

10 mesi fa | 0