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Wavelet Kolmogorov-Arnold Layers
Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework for enhancing interpretability and performance.
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Customized BiGRU Layer using Deep Learning Toolbox
BiGRU layer constructed based on Deep Learning Toolbox.
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How is the spectralConvolution1dLayer forward computation process performed
spectralConvolution1dLayer performs convolution on 1-D input using frequency domain transformations. The layer convolves the in...
3개월 전 | 답변 수: 1 | 0
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MATLAB 101: Reverse a Vector
Write a MATLAB function that takes a 1D vector (either a row or a column vector) and returns the vector with its elements in exa...
3개월 전
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Multi Head Hybrid Adaptive Attention Mechanism
Multi-head hybrid adaptive attention (MHAA) mechanism integrating MSA and MEA.
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Multiply the Diagonals of Two Vectors
Find the diagonals of vectors a and b and multiply them.
3개월 전
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T-S Fuzzy Markov Jump Systems Simulation Example
T-S Fuzzy Markov Jump Systems Simulation based on ode Object and odeEvent object.
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Customized Graph Attention Layer for Graph Neural Network
Customized Graph Attention Layer based on Deep Learning Toolbox for graph neural network.
3개월 전 | 다운로드 수: 8 |
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Top-k Sparse Attention Layer
Top-k Sparse Attention Layer implemented based on Deep Learning Toolbox and customized deep learning layer template.
3개월 전 | 다운로드 수: 2 |
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Customized Graph Convolution Network Layer
Graph Convolution Network (GCN) Layer constructed based on MATLAB Deep Learning Toolbox.
4개월 전 | 다운로드 수: 11 |
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Customized Mamba SSM Block Deep Learning Layer
Core Mamba SSM block implementation leveraging selective state spaces based on MATLAB Deep Learning Toolbox
4개월 전 | 다운로드 수: 33 |
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Count the even numbers in a multiplication table
A multiplication table that has products of numbers from 1 to 10 has 75 even numbers among the products. Write a function to c...
4개월 전
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Quadratic 1D Convolution and Fully-Connection Layer
Quadratic 1D convolution layer and fully-connection layer.
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Efficient Channel Attention (ECA) for Spatial attention
To capture spatial dependencies in the multivariable time series data, ECA enhances the representational capacity of deep CNN.
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PPO Deep Reinforcement Learning Control Example
PPO DRL continuous control example with customized environment based on Deep Learning Toolbox
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Adaptive Morlet Wavelet Transform Deep Learning Layer
Differentiable parameterized Morlet wavelet transform layer is constructed for adaptive time-frequency representation of complex...
4개월 전 | 다운로드 수: 15 |
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Electro-hydraulic system simulation under OBC method
The electro-hydraulic system (EHS) is simulated under the optimal backstepping control (OBC) method with reinforcement learning....
5개월 전 | 다운로드 수: 17 |
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How to print a line of text with multiple variables
@Gabbie. The fprintf function fprintf(formatSpec,A1,...,An) applies the formatSpec to all elements of array A1, ..., An in colum...
How to print a line of text with multiple variables
@Gabbie. The fprintf function fprintf(formatSpec,A1,...,An) applies the formatSpec to all elements of array A1, ..., An in colum...
5개월 전 | 1
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Battery Discharge Time Estimation
In a Battery Management System (BMS), the estimated discharge time (T) of a battery can be calculated as: where: is the ...
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Energy Stored in a Capacitor
The energy (E) stored in a capacitor is given by the formula: where: C is the capacitance (in farads) V is the voltage (in ...
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Simple Electrical Power Calculation
Calculate the electrical power using the formula: P=V×I where: V is the voltage (in volts) I is the current (in amperes)
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Ohm’s Law - Calculate Resistance
Ohm’s Law states that resistance R can be calculated as:R=V/I where: V is the voltage (in volts) I is the current (in ampere...
5개월 전
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A simple example to illustrate the event-triggered control
A simple example to demonstrate the event-triggered control using 2nd-order linear system model.
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LSTM network time series prediction error occurs at the initial time step
I have trained a LSTM network for time series regression. After training, I want to test its performance based on the test datas...
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1
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Training error when use selfAttentionLayer with DropOut
I want to use selfAttentionLayer to construct the time series prediction model. However, when I use selfAttentionLayer with Drop...
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Double the 2x2 Matrix
In this challenge, you are given a predefined 2x2 matrix called x. Your task is to multiply every element in this matrix by 2 an...
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Current through resistor
Three resistors (R2, R3, R4) are connected in parallel as shown in the figure. If this combination is connected in series with ...
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Calculate Parallel Resistance
Three resistors connected in parallel have resistances R1, R 2, and R 3, respectively. Return the total resistance R total of ...
6개월 전