To explain the title above, how do i get prediction for i+1 based on i and i-1 combined?

I had already done the training and got the training info inside variable net.
This is an example of the code for LSTM trained net to predict 1 value into the future from Mathworks website.

for i=1:numTimeStepsTest
[net,YPred(:,i)] = predictAndUpdateState(net,YPred(:,i-1));
end

I appreciate if anyone can help direct me to any forum/article regarding this matter if it has been answered previously.

Thank you.To explain the title above, how do i get prediction for i+1 based on i and i-1 combined?

I had already done the training and got the training info inside variable net.
This is an example of the code for LSTM trained net to predict 1 value into the future from Mathworks website.

for i=1:numTimeStepsTest
[net,YPred(:,i)] = predictAndUpdateState(net,YPred(:,i-1));
end

I appreciate if anyone can help direct me to any forum/article regarding this matter if it has been answered previously.

Thank you. To explain the title above, how do i get prediction for i+1 based on i and i-1 combined?

I had already done the training and got the training info inside variable net.
This is an example of the code for LSTM trained net to predict 1 value into the future from Mathworks website.

for i=1:numTimeStepsTest
[net,YPred(:,i)] = predictAndUpdateState(net,YPred(:,i-1));
end

I appreciate if anyone can help direct me to any forum/article regarding this matter if it has been answered previously.

Thank you. neural network MATLAB Answers — New Questions

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hi, as the title description, i want use matlab to delete the empty rows in the excel which has many rows, how to realize.hi, as the title description, i want use matlab to delete the empty rows in the excel which has many rows, how to realize. hi, as the title description, i want use matlab to delete the empty rows in the excel which has many rows, how to realize. excel operate, matlab MATLAB Answers — New Questions

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I am trying do PIL using ESP-32 Hardware and I am getting this error:
Error:Unable to run PIL simulation of "Subsystem".

Configuration parameters for the model do not support these connectivity configurations: STM32 Targets, Arduino Board, ARM Cortex-M3 (QEMU), STM32F4-Discovery (ST-LINK), STM32F4-Discovery (Serial), STM32 Ethernet, STM32 Microcontroller, Texas Instruments Code Composer Studio (IDE), Texas Instruments Code Composer Studio (TCP/IP), Texas Instruments Code Composer Studio (Serial), Teensy connectivity config using serial

Update configuration parameters or create a supported connectivity configuration. See Create PIL Target Connectivity Configuration.I am trying do PIL using ESP-32 Hardware and I am getting this error:
Error:Unable to run PIL simulation of "Subsystem".

Configuration parameters for the model do not support these connectivity configurations: STM32 Targets, Arduino Board, ARM Cortex-M3 (QEMU), STM32F4-Discovery (ST-LINK), STM32F4-Discovery (Serial), STM32 Ethernet, STM32 Microcontroller, Texas Instruments Code Composer Studio (IDE), Texas Instruments Code Composer Studio (TCP/IP), Texas Instruments Code Composer Studio (Serial), Teensy connectivity config using serial

Update configuration parameters or create a supported connectivity configuration. See Create PIL Target Connectivity Configuration. I am trying do PIL using ESP-32 Hardware and I am getting this error:
Error:Unable to run PIL simulation of "Subsystem".

Configuration parameters for the model do not support these connectivity configurations: STM32 Targets, Arduino Board, ARM Cortex-M3 (QEMU), STM32F4-Discovery (ST-LINK), STM32F4-Discovery (Serial), STM32 Ethernet, STM32 Microcontroller, Texas Instruments Code Composer Studio (IDE), Texas Instruments Code Composer Studio (TCP/IP), Texas Instruments Code Composer Studio (Serial), Teensy connectivity config using serial

Update configuration parameters or create a supported connectivity configuration. See Create PIL Target Connectivity Configuration. pil MATLAB Answers — New Questions

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I am creating an app in MATLAB Web App Server 2024a. Accessing the system’s clipboard using the clipboard function is not supported, as described in the unsupported functionality page. I am looking for an alternative so that users can paste the contents of their clipboard into a UITable.
Interestingly, despite the lack of support for the clipboard function, users are still able to paste text from their clipboard using the key combination to paste if they double click a cell in the table first so that there’s a flashing cursor. This leads me to believe that Web App Server is able to access the system clipboard, although I can’t seem to figure out how to do so (ie. if there’s a different function to call). Is there a way for me to access the user’s clipboard in Web App Server without the clipboard function? As it stands, users can only paste if they’ve double-clicked a cell in the table. A single click won’t do, and I’d like to add functionality to enable that.
Any insights are appreciated. Thank you!I am creating an app in MATLAB Web App Server 2024a. Accessing the system’s clipboard using the clipboard function is not supported, as described in the unsupported functionality page. I am looking for an alternative so that users can paste the contents of their clipboard into a UITable.
Interestingly, despite the lack of support for the clipboard function, users are still able to paste text from their clipboard using the key combination to paste if they double click a cell in the table first so that there’s a flashing cursor. This leads me to believe that Web App Server is able to access the system clipboard, although I can’t seem to figure out how to do so (ie. if there’s a different function to call). Is there a way for me to access the user’s clipboard in Web App Server without the clipboard function? As it stands, users can only paste if they’ve double-clicked a cell in the table. A single click won’t do, and I’d like to add functionality to enable that.
Any insights are appreciated. Thank you! I am creating an app in MATLAB Web App Server 2024a. Accessing the system’s clipboard using the clipboard function is not supported, as described in the unsupported functionality page. I am looking for an alternative so that users can paste the contents of their clipboard into a UITable.
Interestingly, despite the lack of support for the clipboard function, users are still able to paste text from their clipboard using the key combination to paste if they double click a cell in the table first so that there’s a flashing cursor. This leads me to believe that Web App Server is able to access the system clipboard, although I can’t seem to figure out how to do so (ie. if there’s a different function to call). Is there a way for me to access the user’s clipboard in Web App Server without the clipboard function? As it stands, users can only paste if they’ve double-clicked a cell in the table. A single click won’t do, and I’d like to add functionality to enable that.
Any insights are appreciated. Thank you! matlab, appdesigner, web app server, clipboard, uitable MATLAB Answers — New Questions

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Hi
I have a pso code, but i have a little problem. Here is a code
clc;
clear;
close all;

%% Problem Definition

CostFunction = @(x) Sphere(x); % Cost Function

nVar = 5; % Number of Unknown (Deceision) Variables

VarSize = [1 nVar]; % Matrix Size of Decision Variables

VarMin = -10; % Lower bound of Decesion Variable
VarMax = 10; % Upper bound of Decesion Variable

%% Parameters of PSO

MaxIt = 100; % Maximum Number of Iterations

nPop = 50; % Population Size (Swarm Size)
wdamp = 0.99; % Damping Ratio of Inertia Coefficient
w = 1; % Inertia Coefficient
c1 = 2; % Personal Acceleration Coefficient
c2 = 2; % Social Acceleration Coefficient

%% Initialization

% The Particle Template
empty_particle.Position = [];
empty_particle.Velocity = [];
empty_particle.Cost = [];
empty_particle.Best.Position = [];
empty_particle.Best.Cost = [];

% Create Population Array
particle = repmat(empty_particle, nPop, 1);

% Initialize Global Best
GlobalBest.Cost = inf;

% Initialize Population Members
for i=1:nPop

% Generate Random Solution
particle(i).Position = unifrnd(VarMin, VarMax, VarSize);

% Initialize Velocity
particle(i).Velocity = zeros(VarSize);

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update the Personal Best
particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end
%
% Array to Hold Best Cost Value on Each Iteration
BestCosts = zeros(MaxIt, 1);

%% Main Loop of PSO

for it=1:MaxIt

for i=1:nPop

% Update Velocity
particle(i).Velocity = w*particle(i).Velocity …
+ c1*rand(VarSize).*(particle(i).Best.Position – particle(i).Position) …
+ c2*rand(VarSize).*(GlobalBest.Position – particle(i).Position);

% Update Position
particle(i).Postion = particle(i).Position + particle(i).Velocity;

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update Personal Best
if particle(i).Cost < particle(i).Best.Cost

particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end

end

% Store the Best Cost Value
BestCosts(it) = GlobalBest.Cost;

% Display Iteration Information
disp([‘Iteration ‘ num2str(it) ‘: Best Cost = ‘ num2str(BestCosts(it))]);

% Damping Interia Coefficient
w = w * wdamp;
end

figure;
plot(BestCosts, ‘LineWidth’, 2);

xlabel(‘Iteration’);
ylabel(‘Best Cost’);
grid on;
Value of BestCosts is alwyas the same, but shouldnt. I dont know how to fix it. Please help me.Hi
I have a pso code, but i have a little problem. Here is a code
clc;
clear;
close all;

%% Problem Definition

CostFunction = @(x) Sphere(x); % Cost Function

nVar = 5; % Number of Unknown (Deceision) Variables

VarSize = [1 nVar]; % Matrix Size of Decision Variables

VarMin = -10; % Lower bound of Decesion Variable
VarMax = 10; % Upper bound of Decesion Variable

%% Parameters of PSO

MaxIt = 100; % Maximum Number of Iterations

nPop = 50; % Population Size (Swarm Size)
wdamp = 0.99; % Damping Ratio of Inertia Coefficient
w = 1; % Inertia Coefficient
c1 = 2; % Personal Acceleration Coefficient
c2 = 2; % Social Acceleration Coefficient

%% Initialization

% The Particle Template
empty_particle.Position = [];
empty_particle.Velocity = [];
empty_particle.Cost = [];
empty_particle.Best.Position = [];
empty_particle.Best.Cost = [];

% Create Population Array
particle = repmat(empty_particle, nPop, 1);

% Initialize Global Best
GlobalBest.Cost = inf;

% Initialize Population Members
for i=1:nPop

% Generate Random Solution
particle(i).Position = unifrnd(VarMin, VarMax, VarSize);

% Initialize Velocity
particle(i).Velocity = zeros(VarSize);

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update the Personal Best
particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end
%
% Array to Hold Best Cost Value on Each Iteration
BestCosts = zeros(MaxIt, 1);

%% Main Loop of PSO

for it=1:MaxIt

for i=1:nPop

% Update Velocity
particle(i).Velocity = w*particle(i).Velocity …
+ c1*rand(VarSize).*(particle(i).Best.Position – particle(i).Position) …
+ c2*rand(VarSize).*(GlobalBest.Position – particle(i).Position);

% Update Position
particle(i).Postion = particle(i).Position + particle(i).Velocity;

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update Personal Best
if particle(i).Cost < particle(i).Best.Cost

particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end

end

% Store the Best Cost Value
BestCosts(it) = GlobalBest.Cost;

% Display Iteration Information
disp([‘Iteration ‘ num2str(it) ‘: Best Cost = ‘ num2str(BestCosts(it))]);

% Damping Interia Coefficient
w = w * wdamp;
end

figure;
plot(BestCosts, ‘LineWidth’, 2);

xlabel(‘Iteration’);
ylabel(‘Best Cost’);
grid on;
Value of BestCosts is alwyas the same, but shouldnt. I dont know how to fix it. Please help me. Hi
I have a pso code, but i have a little problem. Here is a code
clc;
clear;
close all;

%% Problem Definition

CostFunction = @(x) Sphere(x); % Cost Function

nVar = 5; % Number of Unknown (Deceision) Variables

VarSize = [1 nVar]; % Matrix Size of Decision Variables

VarMin = -10; % Lower bound of Decesion Variable
VarMax = 10; % Upper bound of Decesion Variable

%% Parameters of PSO

MaxIt = 100; % Maximum Number of Iterations

nPop = 50; % Population Size (Swarm Size)
wdamp = 0.99; % Damping Ratio of Inertia Coefficient
w = 1; % Inertia Coefficient
c1 = 2; % Personal Acceleration Coefficient
c2 = 2; % Social Acceleration Coefficient

%% Initialization

% The Particle Template
empty_particle.Position = [];
empty_particle.Velocity = [];
empty_particle.Cost = [];
empty_particle.Best.Position = [];
empty_particle.Best.Cost = [];

% Create Population Array
particle = repmat(empty_particle, nPop, 1);

% Initialize Global Best
GlobalBest.Cost = inf;

% Initialize Population Members
for i=1:nPop

% Generate Random Solution
particle(i).Position = unifrnd(VarMin, VarMax, VarSize);

% Initialize Velocity
particle(i).Velocity = zeros(VarSize);

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update the Personal Best
particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end
%
% Array to Hold Best Cost Value on Each Iteration
BestCosts = zeros(MaxIt, 1);

%% Main Loop of PSO

for it=1:MaxIt

for i=1:nPop

% Update Velocity
particle(i).Velocity = w*particle(i).Velocity …
+ c1*rand(VarSize).*(particle(i).Best.Position – particle(i).Position) …
+ c2*rand(VarSize).*(GlobalBest.Position – particle(i).Position);

% Update Position
particle(i).Postion = particle(i).Position + particle(i).Velocity;

% Evaluation
particle(i).Cost = CostFunction(particle(i).Position);

% Update Personal Best
if particle(i).Cost < particle(i).Best.Cost

particle(i).Best.Position = particle(i).Position;
particle(i).Best.Cost = particle(i).Cost;

% Update Global Best
if particle(i).Best.Cost < GlobalBest.Cost
GlobalBest = particle(i).Best;
end

end

end

% Store the Best Cost Value
BestCosts(it) = GlobalBest.Cost;

% Display Iteration Information
disp([‘Iteration ‘ num2str(it) ‘: Best Cost = ‘ num2str(BestCosts(it))]);

% Damping Interia Coefficient
w = w * wdamp;
end

figure;
plot(BestCosts, ‘LineWidth’, 2);

xlabel(‘Iteration’);
ylabel(‘Best Cost’);
grid on;
Value of BestCosts is alwyas the same, but shouldnt. I dont know how to fix it. Please help me. pso algorithm MATLAB Answers — New Questions

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hi, i want to execute calback by click Node2 to execute other function
It’s possibile to do it?hi, i want to execute calback by click Node2 to execute other function
It’s possibile to do it? hi, i want to execute calback by click Node2 to execute other function
It’s possibile to do it? callback in treenode propertis MATLAB Answers — New Questions

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