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Chuguang Pan


Last seen: Today Attivo dal 2019

Followers: 3   Following: 12

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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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Inviato


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 ...

circa 10 ore fa | 0 download |

0.0 / 5

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Symbolic KANs for Interpretable Learning
Symbolic Kolmogorov-Arnold Networks (Symbolic-KANs) embeds symbolic structure directly within a trainable network.

6 giorni fa | 2 download |

0.0 / 5

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Customized Spike Neuron Layers for Spiking Neural Networks
SpikeIFNeuronLayer and SpikeLIFNeuronLayer for constructing Spiking Neural Networks (SNNs).

11 giorni fa | 0 download |

0.0 / 5
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Tensorized LSTM Network with Mixture Attention
Tensorized LSTM unit for multivariate time series (MTS) learning. Mixture Attention for variable attention and temproal attentio...

17 giorni fa | 5 download |

0.0 / 5

Domanda


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...

17 giorni fa | 1 risposta | 0

1

risposta

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

20 giorni fa | 4 download |

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

23 giorni fa | 1 download |

0.0 / 5
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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...

28 giorni fa | 2 risposte | 0

2

risposte

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

29 giorni fa | 9 download |

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

circa un mese fa | 1 download |

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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...

circa un mese fa | 1 risposta | 0

1

risposta

Risolto


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...

circa 2 mesi fa

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

circa 2 mesi fa | 2 download |

0.0 / 5
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Multiply the Diagonals of Two Vectors
Find the diagonals of vectors a and b and multiply them.

2 mesi fa

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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.

2 mesi fa | 1 download |

0.0 / 5
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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.

2 mesi fa | 1 download |

0.0 / 5
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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.

2 mesi fa | 1 download |

0.0 / 5
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Customized Graph Convolution Network Layer
Graph Convolution Network (GCN) Layer constructed based on MATLAB Deep Learning Toolbox.

2 mesi fa | 3 download |

0.0 / 5
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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

2 mesi fa | 10 download |

0.0 / 5
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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...

2 mesi fa

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

2 mesi fa | 1 download |

0.0 / 5
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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.

2 mesi fa | 1 download |

0.0 / 5
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PPO Deep Reinforcement Learning Control Example
PPO DRL continuous control example with customized environment based on Deep Learning Toolbox

3 mesi fa | 2 download |

0.0 / 5
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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...

3 mesi fa | 3 download |

0.0 / 5
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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....

3 mesi fa | 5 download |

0.0 / 5
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Risposto
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 mesi fa | 1

| accettato

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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 ...

4 mesi fa

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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 ...

4 mesi fa

Risolto


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)

4 mesi fa

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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...

4 mesi fa

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