Chuguang Pan
MATLAB, Python, C
Spoken Languages:
English, Chinese
Pronouns:
He/him
Professional Interests:
Control Algorithm Design, Signal and Data Processing, Mechanical Engineering
Statistiques
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NOMBRE MOYEN DE LIKES
Feeds
A soumis
Gated Mamba Module based on Deep Learning Toolbox
Gated mamba module for multivariates time sequence deep learning.
1 jour il y a | 1 téléchargement |
A soumis
Neural Dynamics Gradient Time Acceleration Optimizer
NDGTA optimizer guides parameters of neural networks toward flat minima during the training for generalization.
2 jours il y a | 1 téléchargement |
A soumis
Deep Gaussian Process (DGP) Layer for DGP Integration
Deep Gaussian Processes (DGPs) are hierarchical Bayesian non-parametric models that extend standard Gaussian Processes for deep ...
4 jours il y a | 3 téléchargements |
A soumis
Symbolic KANs for Interpretable Learning
Symbolic Kolmogorov-Arnold Networks (Symbolic-KANs) embeds symbolic structure directly within a trainable network.
10 jours il y a | 2 téléchargements |
A soumis
Customized Spike Neuron Layers for Spiking Neural Networks
SpikeIFNeuronLayer and SpikeLIFNeuronLayer for constructing Spiking Neural Networks (SNNs).
14 jours il y a | 1 téléchargement |
A soumis
Tensorized LSTM Network with Mixture Attention
Tensorized LSTM unit for multivariate time series (MTS) learning. Mixture Attention for variable attention and temproal attentio...
20 jours il y a | 5 téléchargements |
Question
Custom Deep Learning Layer with different input and output format occurs error
When I construct the custom deep learning layer with formattable input and output, checkLayer function returns error when the in...
21 jours il y a | 1 réponse | 0
1
réponseA soumis
Spiking Neural Network Example using Spiking LIF Layer
Customized Spiking LIF (Leaky-and-Firing) Layer without learnable parameters for constructing Spiking Neural Networks (SNNs).
24 jours il y a | 4 téléchargements |
A soumis
Customized Invertible Attention Layer
Invertible Attention Layer (IAL) constructed based on Deep Learning Toolbox for conditional invertible neural networks (cINNs).
27 jours il y a | 1 téléchargement |
Question
How to ensurethat the sum([0.7 0.2 0.1])==1 return true when testing equivalence relation
I find that when I want to test the equivalence between sum([0.7 0.2 0.1]) and 1, the testing result return false. I think the e...
environ un mois il y a | 2 réponses | 0
2
réponsesA soumis
Wavelet Kolmogorov-Arnold Layers
Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework for enhancing interpretability and performance.
environ un mois il y a | 9 téléchargements |
A soumis
Customized BiGRU Layer using Deep Learning Toolbox
BiGRU layer constructed based on Deep Learning Toolbox.
environ un mois il y a | 1 téléchargement |
Question
How is the spectralConvolution1dLayer forward computation process performed
spectralConvolution1dLayer performs convolution on 1-D input using frequency domain transformations. The layer convolves the in...
environ 2 mois il y a | 1 réponse | 0
1
réponseA résolu
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...
environ 2 mois il y a
A soumis
Multi Head Hybrid Adaptive Attention Mechanism
Multi-head hybrid adaptive attention (MHAA) mechanism integrating MSA and MEA.
environ 2 mois il y a | 2 téléchargements |
A résolu
Multiply the Diagonals of Two Vectors
Find the diagonals of vectors a and b and multiply them.
2 mois il y a
A soumis
T-S Fuzzy Markov Jump Systems Simulation Example
T-S Fuzzy Markov Jump Systems Simulation based on ode Object and odeEvent object.
2 mois il y a | 1 téléchargement |
A soumis
Customized Graph Attention Layer for Graph Neural Network
Customized Graph Attention Layer based on Deep Learning Toolbox for graph neural network.
2 mois il y a | 1 téléchargement |
A soumis
Top-k Sparse Attention Layer
Top-k Sparse Attention Layer implemented based on Deep Learning Toolbox and customized deep learning layer template.
2 mois il y a | 1 téléchargement |
A soumis
Customized Graph Convolution Network Layer
Graph Convolution Network (GCN) Layer constructed based on MATLAB Deep Learning Toolbox.
2 mois il y a | 3 téléchargements |
A soumis
Customized Mamba SSM Block Deep Learning Layer
Core Mamba SSM block implementation leveraging selective state spaces based on MATLAB Deep Learning Toolbox
2 mois il y a | 7 téléchargements |
A résolu
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...
2 mois il y a
A soumis
Quadratic 1D Convolution and Fully-Connection Layer
Quadratic 1D convolution layer and fully-connection layer.
3 mois il y a | 1 téléchargement |
A soumis
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.
3 mois il y a | 1 téléchargement |
A soumis
PPO Deep Reinforcement Learning Control Example
PPO DRL continuous control example with customized environment based on Deep Learning Toolbox
3 mois il y a | 2 téléchargements |
A soumis
Adaptive Morlet Wavelet Transform Deep Learning Layer
Differentiable parameterized Morlet wavelet transform layer is constructed for adaptive time-frequency representation of complex...
3 mois il y a | 4 téléchargements |
A soumis
Electro-hydraulic system simulation under OBC method
The electro-hydraulic system (EHS) is simulated under the optimal backstepping control (OBC) method with reinforcement learning....
3 mois il y a | 5 téléchargements |
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...
3 mois il y a | 1
| A accepté
A résolu
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 ...
4 mois il y a
A résolu
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 ...
4 mois il y a
