Neural Network Meaningful Learning Theory and its Application for Deep Text Clustering

Neural Network Meaningful Learning Theory and its Application for Deep Text Clustering

In this paper, a new theory to train neural networks is presented which is called “Neural Network Meaningful Learning” (NNMeL) theory. According to this theory, meaningful learning in an artificial neural network occurs when concepts are learned separately but get related to ea...

Full description

Bibliographic Details
Main Authors: Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Neural network meaningful learning theory
topic detection
sentence similarity
deep text clustering
Online Access:https://ieeexplore.ieee.org/document/10464304/

Internet

https://ieeexplore.ieee.org/document/10464304/

Similar Items