Deep Multi-Component Neural Network Architecture

Deep Multi-Component Neural Network Architecture

Existing neural network architectures often struggle with two critical limitations: (1) information loss during dataset length standardization, where variable-length samples are forced into fixed dimensions, and (2) inefficient feature selection in single-modal systems, which treats all features equ...

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Bibliographic Details
Main Authors: Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Computation
Subjects:
deep learning (DL)
image classification
meaningful neural network (MNN)
multimodal
deep multi-components neural network architecture (DMCNN)
neural network architecture
Online Access:https://www.mdpi.com/2079-3197/13/4/93
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