Chuguang Pan

Last seen: Today | Active since 2019

Followers: 3 Following: 12

Message

Continuous learning matters enormously. Knowledge and industries change fast these days, so we can not stop learning once we master a set of skills. Keeping learning helps us broaden our horizons, improve our problem-solving skills and stay competitive in both work and life.

Programming Languages:
MATLAB, Python, C
Spoken Languages:
English, Chinese
Pronouns:
He/him
Professional Interests:
Control Algorithm Design, Signal and Data Processing, Mechanical Engineering

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Submitted

Tensorized LSTM Network with Mixture Attention
Tensorized LSTM unit for multivariate time series (MTS) learning. Mixture Attention for variable attention and temproal attentio...

4 hours ago | 0 downloads |

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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...

9 hours ago | 0 answers | 0

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answers

Submitted

Spiking Neural Network Example using Spiking LIF Layer
Customized Spiking LIF (Leaky-and-Firing) Layer without learnable parameters for constructing Spiking Neural Networks (SNNs).

4 days ago | 2 downloads |

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Submitted

Customized Invertible Attention Layer
Invertible Attention Layer (IAL) constructed based on Deep Learning Toolbox for conditional invertible neural networks (cINNs).

7 days ago | 1 download |

0.0 / 5

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...

11 days ago | 2 answers | 0

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answers

Submitted

Wavelet Kolmogorov-Arnold Layers
Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework for enhancing interpretability and performance.

13 days ago | 6 downloads |

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Submitted

Customized BiGRU Layer using Deep Learning Toolbox
BiGRU layer constructed based on Deep Learning Toolbox.

20 days ago | 0 downloads |

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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...

26 days ago | 1 answer | 0

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answer

Solved

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...

1 month ago

Submitted

Multi Head Hybrid Adaptive Attention Mechanism
Multi-head hybrid adaptive attention (MHAA) mechanism integrating MSA and MEA.

1 month ago | 4 downloads |

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Solved

Multiply the Diagonals of Two Vectors
Find the diagonals of vectors a and b and multiply them.

1 month ago

Submitted

T-S Fuzzy Markov Jump Systems Simulation Example
T-S Fuzzy Markov Jump Systems Simulation based on ode Object and odeEvent object.

2 months ago | 1 download |

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Submitted

Customized Graph Attention Layer for Graph Neural Network
Customized Graph Attention Layer based on Deep Learning Toolbox for graph neural network.

2 months ago | 1 download |

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Submitted

Top-k Sparse Attention Layer
Top-k Sparse Attention Layer implemented based on Deep Learning Toolbox and customized deep learning layer template.

2 months ago | 1 download |

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Submitted

Customized Graph Convolution Network Layer
Graph Convolution Network (GCN) Layer constructed based on MATLAB Deep Learning Toolbox.

2 months ago | 3 downloads |

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Submitted

Customized Mamba SSM Block Deep Learning Layer
Core Mamba SSM block implementation leveraging selective state spaces based on MATLAB Deep Learning Toolbox

2 months ago | 12 downloads |

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Solved

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 months ago

Submitted

Quadratic 1D Convolution and Fully-Connection Layer
Quadratic 1D convolution layer and fully-connection layer.

2 months ago | 3 downloads |

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Submitted

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.

2 months ago | 1 download |

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Submitted

PPO Deep Reinforcement Learning Control Example
PPO DRL continuous control example with customized environment based on Deep Learning Toolbox

2 months ago | 1 download |

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Submitted

Adaptive Morlet Wavelet Transform Deep Learning Layer
Differentiable parameterized Morlet wavelet transform layer is constructed for adaptive time-frequency representation of complex...

2 months ago | 4 downloads |

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Submitted

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 months ago | 2 downloads |

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Answered
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 months ago | 1

| accepted

Solved

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 ...

3 months ago

Solved

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 ...

3 months ago

Solved

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)

3 months ago

Solved

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...

3 months ago

Submitted

A simple example to illustrate the event-triggered control
A simple example to demonstrate the event-triggered control using 2nd-order linear system model.

3 months ago | 2 downloads |

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Question

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...

4 months ago | 1 answer | 0

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answer

Question

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...

4 months ago | 1 answer | 0

1

answer