Improving Classification Performance in Dendritic Neuron Models through Practical Initialization Strategies

Improving Classification Performance in Dendritic Neuron Models through Practical Initialization Strategies

A dendritic neuron model (DNM) is a deep neural network model with a unique dendritic tree structure and activation function. Effective initialization of its model parameters is crucial for its learning performance. This work proposes a novel initialization method specifically designed to improve th...

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Bibliographic Details
Main Authors: Xiaohao Wen, Mengchu Zhou, Aiiad Albeshri, Lukui Huang, Xudong Luo, Dan Ning
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
dendritic neuron model
initialization methods
deep learning
neural networks
Online Access:https://www.mdpi.com/1424-8220/24/6/1729

Internet

https://www.mdpi.com/1424-8220/24/6/1729

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